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ORCIDStefan Schulz 0001
Person information
- affiliation: Medical University of Graz, Austria
- affiliation (former): Freiburg University Hospital, Department of Medical Informatics, Germany
- affiliation (former): Freiburg University, Computational Linguistics Lab, Germany
- affiliation (PhD 1990): Heidelberg University, Germany
Other persons with the same name
- Stefan Schulz — disambiguation page
- Stefan Repke (aka: Stefan Schulz 0002) — RWTH Aachen University, Germany
- Stefan Schulz 0003 — Karlsruhe Institute of Technology, Institute of Applied Computer Science, Germany
- Stefan Schulz 0004 — e-Spirit AG
- Stefan Schulz 0005
![[0000-0002-6634-4004]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6634-4004")
— Hamburg University of Technology, Workgroup on System Technologies and Engineering Design Methodology, Germany - Stefan Schulz 0006 — University of Marburg, Philipps-Universität Marburg, Department of Mathematics and Computer Science, Germany
- Stefan Schulz 0007 — University of Bonn, Department of Computer Science IV, Germany
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Journal Articles
- 2025
[j53]Natthanaphop Isaradech, Andrea Riedel, Wachiranun Sirikul, Markus Kreuzthaler, Stefan Schulz:
Zero- and few-shot Named Entity Recognition and Text Expansion in medication prescriptions using large language models. Artif. Intell. Medicine 167: 103165 (2025)- 2024
- [j52]Akhila Abdulnazar, Roland Roller, Stefan Schulz, Markus Kreuzthaler:
Large Language Models for Clinical Text Cleansing Enhance Medical Concept Normalization. IEEE Access 12: 147981-147990 (2024) - [j51]Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Disambiguation of acronyms in clinical narratives with large language models. J. Am. Medical Informatics Assoc. 31(9): 2040-2046 (2024) - [j50]Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler:
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies. BMC Medical Informatics Decis. Mak. 24(1): 29 (2024) - 2023
- [j49]Stefan Schulz, James T. Case, Peter Hendler, Daniel Karlsson, Michael Lawley, Ronald Cornet, Robert R. Hausam, Harold Solbrig, Karim Nashar, Catalina Martínez-Costa, Yongsheng Gao:
SNOMED CT and Basic Formal Ontology - convergence or contradiction between standards? The case of "clinical finding". Appl. Ontology 18(3): 207-237 (2023) - [j48]Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler:
Embedding-based terminology expansion via secondary use of large clinical real-world datasets. J. Biomed. Informatics 147: 104497 (2023) - 2021
- [j47]Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45(4): 48 (2021) - [j46]Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45(4): 52 (2021) - [j45]Pilar López-Úbeda, Alexandra Pomares-Quimbaya, Manuel Carlos Díaz-Galiano, Stefan Schulz:
Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish. BMC Medical Informatics Decis. Mak. 21(1): 145 (2021) - 2020
- [j44]Susanne Zabka, Stefan Schulz, Oliver Brunner, Martin Boeker:
How versioning of terminology systems can be supported by ontological models - a case study on TNM tumor classification. Appl. Ontology 15(1): 41-60 (2020) - [j43]Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. J. Am. Medical Informatics Assoc. 27(9): 1383-1392 (2020) - 2019
- [j42]José Antonio Miñarro-Giménez, Ronald Cornet, Marie-Christine Jaulent, Heike Dewenter, Sylvia Thun, Kirstine Rosenbeck Gøeg, Daniel Karlsson, Stefan Schulz:
Quantitative analysis of manual annotation of clinical text samples. Int. J. Medical Informatics 123: 37-48 (2019) - [j41]Alan L. Rector, Stefan Schulz, Jean Marie Rodrigues, Christopher G. Chute, Harold Solbrig:
On beyond Gruber: "Ontologies" in today's biomedical information systems and the limits of OWL. J. Biomed. Informatics X 2: 100002 (2019) - [j40]Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
EHR problem list clustering for improved topic-space navigation. BMC Medical Informatics Decis. Mak. 19-S(3): 107-114 (2019) - 2017
- [j39]Filipe Santana da Silva, Ludger Jansen, Fred Freitas, Stefan Schulz:
Ontological interpretation of biomedical database content. J. Biomed. Semant. 8(1): 24:1-24:14 (2017) - [j38]Catalina Martínez-Costa, Stefan Schulz:
Validating EHR clinical models using ontology patterns. J. Biomed. Informatics 76: 124-137 (2017) - 2016
- [j37]Pablo López-García, Stefan Schulz:
Can SNOMED CT be squeezed without losing its shape? J. Biomed. Semant. 7: 56 (2016) - [j36]Martin Boeker, Fábio França, Peter Bronsert, Stefan Schulz:
TNM-O: ontology support for staging of malignant tumours. J. Biomed. Semant. 7: 64:1-64:11 (2016) - 2015
- [j35]Catalina Martínez-Costa, Ronald Cornet, Daniel Karlsson, Stefan Schulz, Dipak Kalra:
Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case. J. Am. Medical Informatics Assoc. 22(3): 565-576 (2015) - [j34]Markus Kreuzthaler, Stefan Schulz, Andrea Berghold:
Secondary use of electronic health records for building cohort studies through top-down information extraction. J. Biomed. Informatics 53: 188-195 (2015) - [j33]Markus Kreuzthaler, Stefan Schulz:
Detection of sentence boundaries and abbreviations in clinical narratives. BMC Medical Informatics Decis. Mak. 15-S(S-2): S4 (2015) - 2014
- [j32]Michael Braun, Alexander Ulrich Brandt, Stefan Schulz, Martin Boeker:
Validating archetypes for the Multiple Sclerosis Functional Composite. BMC Medical Informatics Decis. Mak. 14: 64 (2014) - [j31]Ward Blondé, Erick Antezana, Vladimir Mironov, Stefan Schulz, Martin Kuiper, Bernard De Baets:
Using the relation ontology Metarel for modelling Linked Data as multi-digraphs. Semantic Web 5(2): 115-126 (2014) - 2013
- [j30]Astrid Duque-Ramos, Jesualdo Tomás Fernández-Breis, Miguela Iniesta-Moreno, Michel Dumontier, Mikel Egaña Aranguren, Stefan Schulz, Nathalie Aussenac-Gilles, Robert Stevens:
Evaluation of the OQuaRE framework for ontology quality. Expert Syst. Appl. 40(7): 2696-2703 (2013) - 2012
- [j29]Djamila Seddig-Raufie, Ludger Jansen, Daniel Schober, Martin Boeker, Niels Grewe, Stefan Schulz:
Proposed actions are no actions: re-modeling an ontology design pattern with a realist top-level ontology. J. Biomed. Semant. 3(S-2): S2 (2012) - [j28]André Queiroz de Andrade, Ward Blondé, Janna Hastings, Stefan Schulz:
Process attributes in bio-ontologies. BMC Bioinform. 13: 217 (2012) - [j27]Pablo López-García, Martin Boeker, Arantza Illarramendi, Stefan Schulz:
Usability-driven pruning of large ontologies: the case of SNOMED CT. J. Am. Medical Informatics Assoc. 19(e1) (2012) - 2011
- [j26]Stefan Schulz, Ronald Cornet, Kent A. Spackman:
Consolidating SNOMED CT's ontological commitment. Appl. Ontology 6(1): 1-11 (2011) - [j25]Filipe Santana, Daniel Schober, Zulma Medeiros, Fred Freitas, Stefan Schulz:
Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases. Bioinform. 27(13): 349-356 (2011) - [j24]Stefan Schulz, Kent A. Spackman, Andrew G. James, Cristian Cocos, Martin Boeker:
Scalable representations of diseases in biomedical ontologies. J. Biomed. Semant. 2(S-2): S6 (2011) - [j23]Heinrich Herre, Robert Hoehndorf, Janet Kelso, Frank Loebe, Stefan Schulz:
OBML - Ontologies in Biomedicine and Life Sciences. J. Biomed. Semant. 2(S-4): I1 (2011) - [j22]Ludger Jansen, Stefan Schulz:
Grains, components and mixtures in biomedical ontologies. J. Biomed. Semant. 2(S-4): S2 (2011) - [j21]Martin Boeker, Ilinca Tudose, Janna Hastings, Daniel Schober, Stefan Schulz:
Unintended consequences of existential quantifications in biomedical ontologies. BMC Bioinform. 12: 456 (2011) - 2009
- [j20]Stefan Schulz, Ludger Jansen:
Molecular interactions: On the ambiguity of ordinary statements in biomedical literature. Appl. Ontology 4(1): 21-34 (2009) - [j19]Stefan Schulz, Elena Beisswanger, László van den Hoek, Olivier Bodenreider, Erik M. van Mulligen:
Alignment of the UMLS semantic network with BioTop: methodology and assessment. Bioinform. 25(12) (2009) - [j18]Stefan Schulz, Boontawee Suntisrivaraporn, Franz Baader, Martin Boeker:
SNOMED reaching its adolescence: Ontologists' and logicians' health check. Int. J. Medical Informatics 78(Supplement-1): S86-S94 (2009) - 2008
- [j17]Elena Beisswanger, Stefan Schulz, Holger Stenzhorn, Udo Hahn:
BioTop: An upper domain ontology for the life sciencesA description of its current structure, contents and interfaces to OBO ontologies. Appl. Ontology 3(4): 205-212 (2008) - [j16]Jörg Niggemann, Andreas Gebert, Stefan Schulz:
Model Formulation: Modeling Functional Neuroanatomy for an Anatomy Information System. J. Am. Medical Informatics Assoc. 15(5): 671-678 (2008) - [j15]Holger Stenzhorn, Stefan Schulz, Martin Boeker, Barry Smith:
Adapting Clinical Ontologies in Real-World Environments. J. Univers. Comput. Sci. 14(22): 3767-3780 (2008) - [j14]Stefan Schulz, Gunnar O. Klein:
SNOMED CT - advances in concept mapping, retrieval, and ontological foundations. Selected contributions to the Semantic Mining Conference on SNOMED CT (SMCS 2006). BMC Medical Informatics Decis. Mak. 8(S-1): S1 (2008) - [j13]Stefan Schulz, Kornél G. Markó, Boontawee Suntisrivaraporn:
Formal representation of complex SNOMED CT expressions. BMC Medical Informatics Decis. Mak. 8(S-1): S9 (2008) - 2007
- [j12]Udo Hahn, Stefan Schulz:
Ontological foundations for biomedical sciences. Artif. Intell. Medicine 39(3): 179-182 (2007) - [j11]Stefan Schulz, Udo Hahn:
Towards the ontological foundations of symbolic biological theories. Artif. Intell. Medicine 39(3): 237-250 (2007) - [j10]Stefan Schulz, Kornél G. Markó, Udo Hahn:
Spatial location and its relevance for terminological inferences in bio-ontologies. BMC Bioinform. 8 (2007) - [j9]Kornél G. Markó, Stefan Schulz, Udo Hahn:
Automatic lexeme acquisition for a multilingual medical subword thesaurus. Int. J. Medical Informatics 76(2-3): 184-189 (2007) - 2006
- [j8]Stefan Schulz, Anand Kumar, Thomas Bittner:
Biomedical ontologies: What part-of is and isn't. J. Biomed. Informatics 39(3): 350-361 (2006) - 2005
- [j7]Stefan Schulz, Udo Hahn:
Part-whole representation and reasoning in formal biomedical ontologies. Artif. Intell. Medicine 34(3): 179-200 (2005) - 2002
- [j6]Udo Hahn, Martin Romacker, Stefan Schulz:
MedSynDikate - a natural language system for the extraction of medical information from findings reports. Int. J. Medical Informatics 67(1-3): 63-74 (2002) - 2001
- [j5]Stefan Schulz, Udo Hahn:
Medical knowledge reengineering - converting major portions of the UMLS into a terminological knowledge base. Int. J. Medical Informatics 64(2-3): 207-221 (2001) - 2000
- [j4]Stefan Schulz, Udo Hahn:
Morpheme-based, cross-lingual indexing for medical document retrieval. Int. J. Medical Informatics 58: 87-99 (2000) - 1999
- [j3]Udo Hahn, Martin Romacker, Stefan Schulz:
How knowledge drives understandingmatching medical ontologies with the needs of medical language processing. Artif. Intell. Medicine 15(1): 25-51 (1999) - [j2]Udo Hahn, Stefan Schulz, Martin Romacker:
Part-Whole Reasoning: A Case Study in Medical Ontology Engineering. IEEE Intell. Syst. 14(5): 59-67 (1999) - [j1]Udo Hahn, Martin Romacker, Stefan Schulz:
Discourse structures in medical reports - Watch out! The generation of referentially coherent and valid text knowledge bases in the medSYNDIKATE system. Int. J. Medical Informatics 53(1): 1-28 (1999)
Conference and Workshop Papers
- 2025
- [c221]Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Embedding-Based Acronym Disambiguation Supported by Large Language Models in German Clinical Narratives. SLM4Health@AIME 2025: 33-40 - 2024
- [c220]Amila Kugic, Akhila Abdulnazar, Anto Knezovic, Stefan Schulz, Markus Kreuzthaler:
Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data. AIME (1) 2024: 182-191 - [c219]Vishakha Sharma, Andreas Thalhammer, Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Sequence-Model-Based Medication Extraction from Clinical Narratives in German. AIME (1) 2024: 334-344 - [c218]Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models. MIE 2024: 695-699 - [c217]Stefan Schulz, Catalina Martínez-Costa:
'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data. MIE 2024: 1453-1457 - [c216]Sareh Aghaei Dinani, Remzi Celebi, Markus Kreuzthaler, Stefan Schulz:
From Clinical Information Systems to Personalized Health Knowledge Graphs. MIE 2024: 1463-1464 - [c215]Akhila Abdulnazar, Markus Kreuzthaler, Stefan Schulz, Barbara Prietl, Laurin Herbsthofer:
Tumor Board Visualization: Integrating Clinical and Laboratory Insights. MIE 2024: 1750-1751 - 2023
- [c214]Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Identification of Non-Lexical Content in Croatian Health Forum Entries. BIBM 2023: 4328-4335 - [c213]Amila Kugic, Markus Kreuzthaler, Stefan Schulz:
Clinical Acronym Disambiguation via ChatGPT and BING. EFMI-STC 2023: 78-82 - [c212]Stefan Schulz, Warren Del-Pinto, Lifeng Han, Markus Kreuzthaler, Sareh Aghaei Dinani, Goran Nenadic:
Towards Principles of Ontology-Based Annotation of Clinical Narratives. ICBO 2023: 36-47 - [c211]Jean Noël Nikiema, Fleur Mougin, Vianney Jouhet, Stefan Schulz:
KOSonto: an Ontology for Knowledge Organization Systems, Their Constituents, and Their Referents. ICBO 2023: 130-141 - [c210]Markus Kreuzthaler, Bastian Pfeifer, Diether Kramer, Stefan Schulz:
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. MIE 2023: 788-792 - [c209]Akhila Abdulnazar, Markus Kreuzthaler, Roland Roller, Stefan Schulz:
SapBERT-Based Medical Concept Normalization Using SNOMED CT. MIE 2023: 825-826 - [c208]Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler:
Data-Driven Identification of Clinical Real-World Expressions Linked to ICD. MIE 2023: 827-828 - [c207]Stefan Schulz, Akhila Abdulnazar, Markus Kreuzthaler:
Clustering Similar Diagnosis Terms. MIE 2023: 837-838 - 2022
- [c206]Luise Modersohn, Stefan Schulz, Christina Lohr, Udo Hahn:
GRASCCO - The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus. GMDS 2022: 66-72 - [c205]Markus Kreuzthaler, Bastian Pfeifer, Stefan Schulz:
Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets. ICHI 2022: 1-2 - [c204]Amila Kugic, Leon Magnus Pojian, Larissa Marije Hammer, Stefan Schulz, Markus Kreuzthaler:
Alcohol Status Standardization from Clinical Real World Data with Transformer Architectures. ICHI 2022: 233-238 - [c203]Mohamed Khaled, Mahdi Sareban, Markus Kreuzthaler, Stefan Schulz, Rada Hussein:
Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps. ICIMTH 2022: 49-50 - [c202]Stefan Schulz, Martin Boeker, Andrea Prunotto:
Validation of Multiple Path Translation for SNOMED CT Localisation. MIE 2022: 961-962 - 2021
- [c201]Raphael Scheible, Deniz Çaliskan, Patrick Fischer, Fabian Thomczyk, Susanne Zabka, Henning Schneider, Martin Boeker, Stefan Schulz, Hans-Ulrich Prokosch, Christian Gulden:
AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report. MedInfo 2021: 32-36 - [c200]Andrea Prunotto, Stefan Schulz, Martin Boeker:
Automatic Generation of German Translation Candidates for SNOMED CT Textual Descriptions. MIE 2021: 178-182 - [c199]Alexandra Pomares-Quimbaya, Pilar López-Úbeda, Stefan Schulz:
Transfer Learning for Classifying Spanish and English Text by Clinical Specialties. MIE 2021: 377-381 - 2020
- [c198]Deniz Çaliskan, Jakob Zierk, Detlef Kraska, Stefan Schulz, Philipp Daumke, Hans-Ulrich Prokosch, Lorenz A. Kapsner:
First Steps to Evaluate an NLP Tool's Medication Extraction Accuracy from Discharge Letters. GMDS 2020: 224-230 - [c197]Stefan Schulz, Larissa Hammer, David Hashemian Nik, Markus Kreuzthaler:
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary. MultiligualBIO@LREC 2020: 15-20 - [c196]Markus Kreuzthaler, Michel Oleynik, Stefan Schulz:
Character-Level Neural Language Modelling in the Clinical Domain. MIE 2020: 83-87 - [c195]Alexandra Pomares-Quimbaya, Pilar López-Úbeda, Michel Oleynik, Stefan Schulz:
Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution. MIE 2020: 292-296 - [c194]Gustavo A. Uribe, Bernd Blobel, Diego M. Lopez, Stefan Schulz, Alonso A. Ruiz:
Ontology-Based and Architecture-Based Method for the Development of Interoperable Care Systems for Type 2 Diabetes Mellitus. MIE 2020: 352-356 - 2019
- [c193]José Antonio Vera Ramos, Markus Kreuzthaler, Stefan Schulz:
Supervised ICD Code Assignment to Short Clinical Problem List Entries. EFMI-STC 2019: 184-188 - [c192]Stefan Schulz, Johannes Steffel, Peter Polster, Matvey B. Palchuk, Philipp Daumke:
Aligning an Administrative Procedure Coding System with SNOMED CT. JOWO 2019 - [c191]Janna Hastings, Stefan Schulz:
Representing Literary Characters and their Attributes in an Ontology. JOWO 2019 - [c190]Johannes Herrmann, Susanne Zabka, Martin Boeker, Stefan Schulz:
Ontology Patterns for Tubular or Spherical Layered Structures. A Case Study from Oncology. JOWO 2019 - [c189]Catalina Martínez-Costa, José Antonio Miñarro-Giménez, Robert R. Hausam, Stefan Schulz:
Addressing the Negation Gap in SNOMED CT by Reified Negated Concepts. JOWO 2019 - [c188]José Antonio Vera-Ramos, Belén Juanes-Cortés, Jesualdo Tomás Fernández-Breis, Pascale Gaudet, Martin Kuiper, Astrid Lægreid, Colin Logie, María del Mar Roldán García, Stefan Schulz:
An Example of Multimodal Biological Knowledge Representation. JOWO 2019 - [c187]Philipp Daumke, Kai U. Heitmann, Simone Heckmann, Catalina Martínez-Costa, Stefan Schulz:
Clinical Text Mining on FHIR. MedInfo 2019: 83-87 - [c186]David Hashemian Nik, Zdenko Kasác, Zsófia Goda, Anita Semlitsch, Stefan Schulz:
Building an Experimental German User Interface Terminology Linked to SNOMED CT. MedInfo 2019: 153-157 - [c185]Stefanie Jauk, Diether Kramer, Günther Stark, Karl Hasiba, Werner Leodolter, Stefan Schulz, Johann Kainz:
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice. MedInfo 2019: 173-177 - 2018
- [c184]Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
EHR Text Categorization for Enhanced Patient-Based Document Navigation. eHealth 2018: 100-107 - [c183]Stefan Schulz, Ludger Jansen:
Towards an Ontology of Religious and Spiritual Belief. FOIS 2018: 253-260 - [c182]Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz:
Problem List Clustering for Improved Patient-Based Disease Perception. ICHI Workshops 2018: 88-89 - [c181]Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter:
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models. ICIMTH 2018: 249-252 - [c180]Stefan Schulz:
The Role of Foundational Ontologies for Preventing Bad Ontology Design. JOWO 2018 - [c179]José Antonio Miñarro-Giménez, Stefan Schulz:
Analysis of MeSH Indexing Patterns and Frequency of Predicates. MIE 2018: 666-670 - [c178]Jean Marie Rodrigues, Stefan Schulz, Bassim Mizen, Béatrice Trombert, Alan L. Rector:
Scrutinizing SNOMED CT's Ability to Reconcile Clinical Language Ambiguities with an Ontology Representation. MIE 2018: 910-914 - 2017
- [c177]Mélissa Mary, Lina Fatima Soualmia, Xavier Gansel, Stéfan Jacques Darmoni, Daniel Karlsson, Stefan Schulz:
Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption. AIME 2017: 14-23 - [c176]Jean Marie Rodrigues, Stefan Schulz, Bassim Mizen, Alan L. Rector, sofyane Serir:
Is the Application of SNOMED CT Concept Model sufficiently Quality Assured? AMIA 2017 - [c175]Markus Kreuzthaler, Catalina Martínez-Costa, Peter Kaiser, Stefan Schulz:
Semantic Technologies for Re-Use of Clinical Routine Data. eHealth 2017: 24-31 - [c174]Jean Marie Rodrigues, Stefan Schulz, Alan L. Rector:
Scrutinizing the Axiomatic Basis of SNOMED CT: How Confused is it by the Ambiguous Terminology Paradigm? ICBO 2017 - [c173]Zdenko Kasác, Catalina Martínez-Costa, Markus Kreuzthaler, Stefan Schulz:
Basics of a Drug Ontology for Annotations of Clinical Narratives. JOWO 2017 - [c172]Stefan Schulz, Martin Boeker, José Antonio Vera Ramos, Ludger Jansen:
Pizza & Wine: The Need for Educational Tools for Foundational Ontologies. JOWO 2017 - [c171]Stefan Schulz, Catalina Martínez-Costa, José Antonio Miñarro-Giménez:
Lexical Ambiguity in SNOMED CT. JOWO 2017 - [c170]Susanne Zabka, Stefan Schulz, Oliver Brunner, Martin Boeker:
TNM-O: A Modular Ontological Approach for the Representation of Tumour Entities across TNM Versions. JOWO 2017 - [c169]Zdenko Kasác, Stefan Schulz:
Analysis of Historical Medical Phenomena Using Large N-Gram Corpora. MedInfo 2017: 437-441 - [c168]Michel Oleynik, Markus Kreuzthaler, Stefan Schulz:
Unsupervised Abbreviation Expansion in Clinical Narratives. MedInfo 2017: 539-543 - [c167]Stefan Schulz, Jean Marie Rodrigues, Alan L. Rector, Christopher G. Chute:
Interface Terminologies, Reference Terminologies and Aggregation Terminologies: A Strategy for Better Integration. MedInfo 2017: 940-944 - [c166]Mercedes Argüello Casteleiro, Catalina Martínez-Costa, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Chris Wroe, Diego Maseda-Fernandez, George Demetriou, Goran Nenadic, John A. Keane, Stefan Schulz, Robert Stevens:
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources. SWAT4LS 2017 - [c165]Pablo López-García, Michel Oleynik, Zdenko Kasác, Stefan Schulz:
TREC 2017 Precision Medicine - Medical University of Graz. TREC 2017 - 2016
- [c164]Markus Kreuzthaler, Michel Oleynik, Alexander Avian, Stefan Schulz:
Unsupervised Abbreviation Detection in Clinical Narratives. ClinicalNLP@COLING 2016 2016: 91-98 - [c163]Jean Marie Rodrigues, Neelam Dhingra-Kumar, Stefan Schulz, Julien Souvignet:
A Patient Safety Information Model for Interoperability. eHealth 2016: 77-84 - [c162]Pablo López-García, Markus Kreuzthaler, Stefan Schulz, Daniel Scherr, Philipp Daumke, Kornél G. Markó, Jan A. Kors, Erik M. van Mulligen, Xinkai Wang, Hanney Gonna, Elijah Behr, Angel Honrado:
SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data. eHealth 2016: 93-99 - [c161]Marzouk Mamou, Alan L. Rector, Stefan Schulz, James R. Campbell, Harold Solbrig, Jean Marie Rodrigues:
ICD-11 (JLMMS) and SCT Inter-Operation. eHealth 2016: 267-272 - [c160]Marzouk Mamou, Alan L. Rector, Stefan Schulz, James R. Campbell, Harold R. Solbrig, Jean Marie Rodrigues:
Representing ICD-11 JLMMS Using IHTSDO Representation Formalisms. MIE 2016: 431-435 - [c159]Markus Kreuzthaler, José Antonio Miñarro-Giménez, Stefan Schulz:
MapReduce in the Cloud: A Use Case Study for Efficient Co-Occurrence Processing of MEDLINE Annotations with MeSH. MIE 2016: 582-586 - [c158]José Antonio Miñarro-Giménez, Manuel Quesada-Martínez, Jesualdo Tomás Fernández-Breis, Stefan Schulz:
Publishing Biomedical Predication Repository About MeSH Co-Occurrences in MEDLINE. MIE 2016: 765-769 - [c157]Luis Fernández-Luque, Vivian Vimarlund, Elizabeth M. Borycki, Stefan Schulz, Craig E. Kuziemsky, Michael Marschollek, Casimir A. Kulikowski:
Social Media as Catalyzer for Connected Health: Hype or Hope? Perspectives from IMIA Working Groups. Nursing Informatics 2016: 602-604 - [c156]José Antonio Miñarro-Giménez, Catalina Martínez-Costa, Stefan Schulz:
Qualitative assessment of annotations using SNOMED CT. ODLS 2016: 1-2 - [c155]Filipe Santana, Ludger Jansen, Fred Freitas, Stefan Schulz:
Ontological interpretation of biomedical database annotations. ODLS 2016: 1-2 - 2015
- [c154]Philipp Daumke, Claudia Riede, Thomas Fassbender, Angel Honrado, Markus Kreuzthaler, Pablo López-García, Stefan Schulz, Erik M. van Mulligen, Herman van Haagen, Jan A. Kors, Hanney Gonna, Xinkai Wang, Elijah Behr:
SEMCARE - Semantic Data Platform for Healthcare. AMIA 2015 - [c153]Johannes Hellrich, Stefan Schulz, Sven Buechel, Udo Hahn:
JUFIT: A Configurable Rule Engine for Filtering and Generating New Multilingual UMLS Terms. AMIA 2015 - [c152]José Antonio Miñarro-Giménez, Markus Kreuzthaler, Stefan Schulz:
Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing. AMIA 2015 - [c151]Markus Kreuzthaler, Philipp Daumke, Stefan Schulz:
Semantic Retrieval and Navigation in Clinical Document Collections. eHealth 2015: 9-14 - [c150]Hans-Ulrich Krieger, Stefan Schulz:
A Modal Representation of Graded Medical Statements. FG 2015: 130-146 - [c149]Martin Boeker, Fábio França, Peter Bronsert, Stefan Schulz:
TNM-O an ontology for the Tumor-Node-Metastasis classification of malignant tumors: a study on rectal cancer. ICBO 2015 - [c148]Edward Cheetham, Yongsheng Gao, Bruce Goldberg, Robert R. Hausam, Stefan Schulz:
Formal representation of disorder associations in SNOMED CT. ICBO 2015 - [c147]Pablo López-García, Stefan Schulz:
Can SNOMED CT be squeezed without losing its shape? ICBO 2015 - [c146]Fábio França, Stefan Schulz, Peter Bronsert, Paulo Novais, Martin Boeker:
Feasibility of an ontology driven tumor-node-metastasis classifier application: A study on colorectal cancer. INISTA 2015: 1-7 - [c145]José Antonio Miñarro-Giménez, Markus Kreuzthaler, Johannes Bernhardt-Melischnig, Catalina Martínez-Costa, Stefan Schulz:
Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations. MedInfo 2015: 716-720 - [c144]Jean Marie Rodrigues, David J. Robinson, Vincenzo Della Mea, James R. Campbell, Alan L. Rector, Stefan Schulz, Hazel Brear, Bedirhan Üstün, Kent A. Spackman, Christopher G. Chute, Jane Millar, Harold R. Solbrig, Kristina Brand Persson:
Semantic Alignment between ICD-11 and SNOMED CT. MedInfo 2015: 790-794 - [c143]Stefan Schulz, Catalina Martínez-Costa:
Harmonizing SNOMED CT with BioTopLite: An Exercise in Principled Ontology Alignment. MedInfo 2015: 832-836 - [c142]Filipe Santana, Stefan Schulz, Amadeu Campos, Magdala A. Novaes:
Towards a Formal Representation of Processes and Objects Regarding the Delivery of Telehealth Services: The Telehealth Ontology (TEON). MedInfo 2015: 1108 - [c141]Jean Marie Rodrigues, Stefan Schulz, Julien Souvignet:
Integrated care: an Information Model for Patient Safety and Vigilance Reporting Systems. MIE 2015: 434-438 - [c140]José Antonio Miñarro-Giménez, Johannes Hellrich, Stefan Schulz:
Acquisition of Character Translation Rules for Supporting SNOMED CT Localizations. MIE 2015: 597-601 - [c139]Catalina Martínez-Costa, Stephen Kay, Nicholas Oughtibridge, Stefan Schulz:
ContSys under Ontological Scrutiny. MIE 2015: 999 - [c138]Gustavo A. Uribe, Bernd Blobel, Diego M. López, Stefan Schulz:
A Generic Architecture for an Adaptive, Interoperable and Intelligent Type 2 Diabetes Mellitus Care System. pHealth 2015: 121-131 - 2014
- [c137]Markus Kreuzthaler, Stefan Schulz:
Disambiguation of Period Characters in Clinical Narratives. Louhi@EACL 2014: 96-100 - [c136]Catalina Martínez-Costa, María Del Carmen Legaz-García, Stefan Schulz, Jesualdo Tomás Fernández-Breis:
Ontology-based infrastructure for a meaningful EHR representation and use. BHI 2014: 535-538 - [c135]Catalina Martínez-Costa, Stefan Schulz:
Ontology Content Patterns as Bridge for the Semantic Representation of Clinical Information. eHealth 2014: 247 - [c134]Stefan Schulz, Catalina Martínez-Costa, Daniel Karlsson, Ronald Cornet, Mathias Brochhausen, Alan L. Rector:
An Ontological Analysis of Reference in Health Record Statements. FOIS 2014: 289-302 - [c133]Vincenzo Della Mea, Omar Vuattolo, Bedirhan Üstün, Alan L. Rector, Stefan Schulz, Jean Marie Rodrigues, Kent A. Spackman, David J. Robinson, Jane Millar, James R. Campbell, Christopher G. Chute, Harold R. Solbrig, Kristina Brand Persson:
A Web-Based Tool for Development of a Common Ontology between ICD11 and SNOMED-CT. ICHI 2014: 144-148 - [c132]Catalina Martínez-Costa, Dipak Kalra, Stefan Schulz:
Improving EHR Semantic Interoperability: Future Vision and Challenges. MIE 2014: 589-593 - [c131]María Del Carmen Legaz-García, Catalina Martínez-Costa, José Antonio Miñarro-Giménez, Jesualdo Tomás Fernández-Breis, Stefan Schulz, Marcos Menárguez Tortosa:
Ontology patterns-based transformation of clinical information. MIE 2014: 1018-1022 - [c130]Stefan Schulz, Jean Marie Rodrigues, Alan L. Rector, Kent A. Spackman, James R. Campbell, Bedirhan Üstün, Christopher G. Chute, Harold R. Solbrig, Vincenzo Della Mea, Jane Millar, Kristina Brand Persson:
What's in a Class? Lessons Learnt from the ICD - SNOMED CT Harmonisation. MIE 2014: 1038-1042 - [c129]Jean Marie Rodrigues, Stefan Schulz, Alan L. Rector, Kent A. Spackman, Jane Millar, James R. Campbell, Bedirhan Üstün, Christopher G. Chute, Harold R. Solbrig, Vincenzo Della Mea, Kristina Brand Persson:
ICD-11 and SNOMED CT Common Ontology: Circulatory System. MIE 2014: 1043-1047 - [c128]José Antonio Miñarro-Giménez, Catalina Martínez-Costa, Stefan Schulz:
Using concept co-occurrences for a biomedical facts acquisition. MIE 2014: 1200 - [c127]Catalina Martínez-Costa, Daniel Karlsson, Stefan Schulz:
Ontology Patterns for Clinical Information Modelling. WOP 2014: 61-72 - [c126]Pablo López-García, Stefan Schulz, Roman Kern:
Automatic Summarization for Terminology Recommendation: The Case of the NCBO Ontology Recommender. SWAT4LS 2014 - 2013
- [c125]Stefan Schulz, Catalina Martínez-Costa:
How Ontologies Can Improve Semantic Interoperability in Health Care. KR4HC/ProHealth 2013: 1-10 - [c124]Catalina Martínez-Costa, Stefan Schulz:
Ontology-Based Reengineering of the SNOMED CT Context Model. AIME 2013: 216-220 - [c123]Stefan Schulz, Josef Ingenerf, Sylvia Thun, Philipp Daumke:
German-Language Content in Biomedical Vocabularies. CLEF (Working Notes) 2013 - [c122]Martin Boeker, Niels Grewe, Johannes Röhl, Daniel Schober, Stefan Schulz, Djamila Seddig-Raufie, Ludger Jansen:
Measuring the Effect of a Guideline-based Training on Ontology Design with a Competency Questions based Evaluation Approach. GI-Jahrestagung 2013: 1783-1795 - [c121]Stefan Schulz, Martin Boeker:
BioTopLite: An Upper Level Ontology for the Life SciencesEvolution, Design and Application. GI-Jahrestagung 2013: 1889-1899 - [c120]Catalina Martínez-Costa, Stefan Schulz:
Ontology-based reinterpretation of the SNOMED CT context model. ICBO 2013: 90-95 - [c119]Jean Marie Rodrigues, Stefan Schulz, Alan L. Rector, Kent A. Spackman, Bedirhan Üstün, Christopher G. Chute, Vincenzo Della Mea, Jane Millar, Kristina Brand Persson:
Sharing Ontology between ICD 11 and SNOMED CT will enable Seamless Re-use and Semantic Interoperability. MedInfo 2013: 343-346 - [c118]Stefan Schulz, Johannes Bernhardt-Melischnig, Markus Kreuzthaler, Philipp Daumke, Martin Boeker:
Machine vs. Human Translation of SNOMED CT Terms. MedInfo 2013: 581-584 - [c117]László Balkányi, Stefan Schulz, Ronald Cornet, Olivier Bodenreider:
Medical Concept Representation: The Years Beyond 2000. MedInfo 2013: 1011 - [c116]Catalina Martínez-Costa, Diego Boscá, María Del Carmen Legaz-García, Cui Tao, Jesualdo Tomás Fernández-Breis, Stefan Schulz, Christopher G. Chute:
Isosemantic Rendering of Clinical Information Using Formal Ontologies and RDF. MedInfo 2013: 1085 - [c115]Jean Marie Rodrigues, Stefan Schulz, Alan L. Rector, Kent A. Spackman, Bedirhan Üstün, Christopher G. Chute, Vincenzo Della Mea, Jane Millar, Kristina Brand Persson, Dipak Kalra:
Do we need a Common Ontology between ICD 11 and SNOMED CT to ensure Seamless Re-Use and Semantic Interoperability? MedInfo 2013: 1234 - [c114]Bente Maegaard, Udo Hahn, Søren Brunak, Stefan Schulz, Ulrich Andersen, Sebastian Welter:
Question Answering for Health Professionals and Laypersons. MedInfo 2013: 1244 - [c113]Jean Marie Rodrigues, Masanori Akiyama, Julien Souvignet, Katsuhide Fujita, Cédric Bousquet, Yingzi Jin, Pierre Lewalle, Luc Van Looy, Anne Marie Taylor, Stefan Schulz, Itziar Larizgoitia:
Is the International Information Model for Patient Safety (2IMPS) a Suitable Tool to Compare Patient Safety Reporting Systems? MedInfo 2013: 1255 - 2012
- [c112]Markus Kreuzthaler, Stefan Schulz:
Metonymies in Medical Terminologies. A SNOMED CT Case Study. AMIA 2012 - [c111]Stefan Schulz, Alan L. Rector, Jean Marie Rodrigues, Kent A. Spackman:
Competing Interpretations of Disorder Codes in SNOMED CT and ICD. AMIA 2012 - [c110]André Queiroz de Andrade, Mauricio Barcellos Almeida, Stefan Schulz:
Revisiting ontological foundations of the OpenEHR Entry Model. ICBO 2012 - [c109]Martin Boeker, Daniel Schober, Djamila Raufie, Niels Grewe, Johannes Röhl, Ludger Jansen, Stefan Schulz:
Teaching Good Biomedical Ontology Design. ICBO 2012 - [c108]Jean Marie Rodrigues, Stefan Schulz, Cédric Bousquet, Julien Souvignet:
The CEN ISO Standard Categorial Structure as a Top-Level Set of Constraints for Ontology Disambiguation. ICBO 2012 - [c107]Suzanne L. Santamaria, Maureen Fallon, Julie M. Green, Stefan Schulz, Jeffrey R. Wilcke:
Developing the Animals in Context Ontology. ICBO 2012 - [c106]Ulrich Andersen, Anna Braasch, Lina Henriksen, Csaba Huszka, Anders Johannsen, Lars Kayser, Bente Maegaard, Ole Norgaard, Stefan Schulz, Jürgen Wedekind:
Creation and use of Language Resources in a Question-Answering eHealth System. LREC 2012: 2536-2542 - 2011
- [c105]Daniel Karlsson, Martin Berzell, Stefan Schulz:
Information Models and Ontologies for Representing the Electronic Health Record. ICBO 2011 - [c104]Stefan Schulz, Mathias Brochhausen, Robert Hoehndorf:
Higgs Bosons, Mars Missions, and Unicorn Delusions: How to Deal with Terms of Dubious Reference in Scientific Ontologies. ICBO 2011 - [c103]Ying Yan, Janna Hastings, Jee-Hyub Kim, Stefan Schulz, Christoph Steinbeck, Dietrich Rebholz-Schuhmann:
Use of Multiple Ontologies to Characterize the Bioactivity of Small Molecules. ICBO 2011 - [c102]Markus Kreuzthaler, Stefan Schulz:
Truecasing Clinical Narratives. MIE 2011: 589-593 - [c101]Stefan Schulz, Thorsten Seddig, Susanne Hanser, Albrecht Zaiß, Philipp Daumke:
Checking Coding Completeness by Mining Discharge Summaries. MIE 2011: 594-598 - [c100]Martin Boeker, Janna Hastings, Daniel Schober, Stefan Schulz:
A T-Box Generator for Testing Scalability of OWL Mereotopological Patterns. OWLED 2011 - [c99]Janna Hastings, Ludger Jansen, Christoph Steinbeck, Stefan Schulz:
Modelling Threshold Phenomena in OWL: Metabolite Concentrations as Evidence For Disorders. OWLED 2011 - [c98]Janna Hastings, Colin R. Batchelor, Stefan Schulz:
Parts and Wholes, Shapes and Holes in Living Beings. SHAPES 2011 - [c97]Stefan Schulz, Pablo López-García:
Modularity Issues in Biomedical Ontologies. WoMO 2011: 7-9 - [c96]Janna Hastings, Colin R. Batchelor, Christoph Steinbeck, Stefan Schulz:
Modularization Requirements in Bio-Ontologies: A Case Study of ChEbi. WoMO 2011: 63-70 - 2010
- [c95]Janna Hastings, Colin R. Batchelor, Christoph Steinbeck, Stefan Schulz:
What are chemical structures and their relations? FOIS 2010: 257-270 - [c94]David Ouagne, Nadia Nadah, Daniel Schober, Rémy Choquet, Douglas Teodoro, Dirk Colaert, Stefan Schulz, Marie-Christine Jaulent, Christel Daniel:
Ensuring HL7-based information model requirements within an ontology framework. MedInfo 2010: 912-916 - [c93]Michel Oleynik, Percy Nohama, Píndaro Secco Cancian, Stefan Schulz:
Performance Analysis of a POS Tagger applied to Discharge Summaries in Portuguese. MedInfo 2010: 959-963 - [c92]Stefan Schulz, Daniel Schober, Christel Daniel, Marie-Christine Jaulent:
Bridging the semantics gap between terminologies, ontologies, and information models. MedInfo 2010: 1000-1004 - [c91]Daniel Schober, Martin Boeker, Jessica Bullenkamp, Csaba Huszka, Kristof Depraetere, Douglas Teodoro, Nadia Nadah, Rémy Choquet, Christel Daniel, Stefan Schulz:
The DebugIT Core Ontology: semantic integration of antibiotics resistance patterns. MedInfo 2010: 1060-1064 - [c90]Daniel Schober, Martin Boeker, Stefan Schulz, Ilinca Tudose:
Developing DCO: The DebugIT core ontology for antibiotics resistence modelling. Semantic Mining in Biomedicine 2010 - 2009
- [c89]Edson José Pacheco, Holger Stenzhorn, Percy Nohama, Jan Paetzold, Stefan Schulz:
Detecting Underspecification in SNOMED CT Concept Definitions Through Natural Language Processing. AMIA 2009 - [c88]Ronald Cornet, Stefan Schulz:
Relationship Groups in SNOMED CT. MIE 2009: 223-227 - [c87]Holger Stenzhorn, Edson José Pacheco, Percy Nohama, Stefan Schulz:
Automatic Mapping of Clinical Documentation to SNOMED CT. MIE 2009: 228-232 - [c86]Stefan Schulz, Daniel Karlsson, Christel Daniel, Hans Cools, Christian Lovis:
Is the "International Classification for Patient Safety" a Classification? MIE 2009: 502-506 - [c85]Bernd Blobel, Dipak Kalra, Marc Koehn, Ken Lunn, Peter Pharow, Pekka Ruotsalainen, Stefan Schulz, Barry Smith:
The Role of Ontologies for Sustainable, Semantically Interoperable and Trustworthy EHR Solutions. MIE 2009: 953-957 - [c84]Bernd Blobel, Catherine E. Chronaki, Robert A. Stegwee, Heather Grain, William Ed Hammond, Charles Jaffe, Dipak Kalra, Marc Koehn, François Macary, Stefan W. Sabutsch, Edward Sheetham, Stefan Schulz, Michael Tan:
HL7's Comprehensive Standards Set and Its International Collaboration for Enabling Semantically Interoperable eHealth and pHealth Solutions. MIE 2009: 982-986 - 2008
- [c83]Stefan Schulz, Philipp Daumke, Pascal Fischer, Marcel Müller:
Evaluation of a Document Search Engine in a Clinical Department System. AMIA 2008 - [c82]Stefan Schulz, Holger Stenzhorn, Martin Boeker:
The ontology of biological taxa. ISMB 2008: 313-321 - [c81]Martin Boeker, Stefan Schulz, Thilo Schuler:
Post-Coordination in the Mapping of Interface Terms of a Clinical Wound Documentation System to SNOMED CT. KR-MED 2008 - [c80]Elena Beisswanger, Vivian Lee, Jung-Jae Kim, Dietrich Rebholz-Schuhmann, Andrea Splendiani, Olivier Dameron, Stefan Schulz, Udo Hahn:
Gene Regulation Ontology (GRO): Design Principles and Use Cases. MIE 2008: 9-14 - [c79]Stefan Schulz, Martin Boeker, Holger Stenzhorn:
How Granularity Issues Concern Biomedical Ontology Integration. MIE 2008: 863-868 - [c78]Holger Stenzhorn, Stefan Schulz, Elena Beisswanger, Udo Hahn, László van den Hoek, Erik M. van Mulligen:
BioTop and ChemTop - Top-Domain Ontologies for Biology and Chemistry. ISWC (Posters & Demos) 2008 - 2007
- [c77]Boontawee Suntisrivaraporn, Franz Baader, Stefan Schulz, Kent A. Spackman:
Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators. AIME 2007: 287-291 - [c76]Martin Boeker, Holger Stenzhorn, Kai Kumpf, Philippe Bijlenga, Stefan Schulz, Susanne Hanser:
The @neurIST Ontology of Intracranial Aneurysms: Providing Terminological Services for an Integrated IT Infrastructure. AMIA 2007 - [c75]Kornél G. Markó, Philipp Daumke, Stefan Schulz, Rüdiger Klar, Udo Hahn:
Large-Scale Evaluation of a Medical Cross-Language Information Retrieval System. MedInfo 2007: 392-396 - [c74]Roosewelt L. Andrade, Edson José Pacheco, Píndaro S. Cancian, Percy Nohama, Stefan Schulz:
Corpus-based Error Detection in a Multilingual Medical Thesaurus. MedInfo 2007: 529-534 - [c73]Jeferson L. Bitencourt, Píndaro S. Cancian, Edson José Pacheco, Percy Nohama, Stefan Schulz:
Thesaurus Anomaly Detection by User Action Monitoring. MedInfo 2007: 655-659 - [c72]Stefan Schulz, Boontawee Suntisrivaraporn, Franz Baader:
SNOMED CT's Problem List: Ontologists' and Logicians' Therapy Suggestions. MedInfo 2007: 802-806 - [c71]Holger Stenzhorn, Elena Beisswanger, Stefan Schulz:
Towards a Top-Domain Ontology for Linking Biomedical Ontologies. MedInfo 2007: 1225-1229 - 2006
- [c70]Kornél G. Markó, Robert H. Baud, Pierre Zweigenbaum, Lars Borin, Magnus Merkel, Stefan Schulz:
Towards a Multilingual Medical Lexicon. AMIA 2006 - [c69]Stefan Schulz, Elena Beisswanger, Joachim Wermter, Udo Hahn:
Towards an Upper-Level Ontology for Molecular Biology. AMIA 2006 - [c68]Stefan Schulz, Elena Beisswanger, Udo Hahn, Joachim Wermter, Anand Kumar, Holger Stenzhorn:
From GENIA to BIOTOP - Towards a Top-Level Ontology for Biology. FOIS 2006: 103-114 - [c67]Stefan Schulz, Ludger Jansen:
"Lmo-2 interacts with elf-2" - On the Meaning of Common Statements in Biomedical Literature. KR-MED 2006 - [c66]Olena Medelyan, Stefan Schulz, Jan Paetzold, Michael Poprat, Kornél G. Markó:
Language Specific and Topic Focused Web Crawling. LREC 2006: 865-868 - [c65]Stefan Schulz, Kornél G. Markó, Philipp Daumke, Udo Hahn, Susanne Hanser, Percy Nohama, Roosewelt L. Andrade, Edson José Pacheco, Martin Romacker:
Semantic Atomicity and Multilinguality in the Medical Domain: Design Considerations for the MorphoSaurus Subword Lexicon. LREC 2006: 1684-1687 - [c64]Susanne Hanser, Albrecht Zaiss, Stefan Schulz:
Comparison of ICHI and CCAM Basic Coding System. MIE 2006: 795-800 - [c63]Jean Marie Rodrigues, Alan L. Rector, Pieter E. Zanstra, Robert H. Baud, Kerry Innes, Jeremy Rogers, Anne-Marie Rassinoux, Stefan Schulz, Béatrice Trombert Paviot, Huib ten Napel, Lucienne Clavel, Egbert J. van der Haring, Ceu Mateus:
An Ontology driven collaborative development for biomedical terminologies: from the French CCAM to the Australian ICHI coding system. MIE 2006: 863-868 - 2005
- [c62]Kornél G. Markó, Stefan Schulz, Udo Hahn:
Unsupervised Multilingual Word Sense Disambiguation via an Interlingua. AAAI 2005: 1075-1080 - [c61]Robert H. Baud, Mikael Nyström, Lars Borin, Roger Evans, Stefan Schulz, Pierre Zweigenbaum:
Interchanging Lexical Information for a Multilingual Dictionary. AMIA 2005 - [c60]Philipp Daumke, Kornél G. Markó, Michael Poprat, Stefan Schulz:
Multilingual Biomedical Dictionary. AMIA 2005 - [c59]Philipp Daumke, Stefan Schulz, Kornél G. Markó:
A CLIR Interface to a Web Search Engine. AMIA 2005 - [c58]Stefan Schulz, Philipp Daumke, Barry Smith, Udo Hahn:
How to Distinguish Parthood from Location in Bio-Ontologies. AMIA 2005 - [c57]Barry Smith, José L. V. Mejino Jr., Stefan Schulz, Anand Kumar, Cornelius Rosse:
Anatomical Information Science. COSIT 2005: 149-164 - [c56]Udo Hahn, Philipp Daumke, Stefan Schulz, Kornél G. Markó:
Cross-Language Mining for Acronyms and Their Completions from the Web. Discovery Science 2005: 113-123 - [c55]Stefan Schulz, Udo Hahn, Jeremy Rogers:
Semantic Clarification of the Representation of Procedures and Diseases in SNOMED®CT. MIE 2005: 773-778 - [c54]Kornél G. Markó, Stefan Schulz, Udo Hahn:
Automatic Lexicon Acquisition for a Medical Cross-Language Information Retrieval System. MIE 2005: 829-834 - [c53]Udo Hahn, Kornél G. Markó, Stefan Schulz:
Subword Clusters as Light-Weight Interlingua for Multilingual Document Retrieval. MTSummit 2005: 17-24 - [c52]Kornél G. Markó, Stefan Schulz, Olena Medelyan, Udo Hahn:
Bootstrapping dictionaries for cross-language information retrieval. SIGIR 2005: 528-535 - [c51]Philipp Daumke, Stefan Schulz, Kornél G. Markó:
A CLIR interface to a web search engine. SIGIR 2005: 675 - 2004
- [c50]Udo Hahn, Stefan Schulz, Kornél G. Markó:
Mereological Semantics for Bio-Ontologies. AAAI 2004: 257-262 - [c49]Udo Hahn, Kornél G. Markó, Stefan Schulz:
Learning Indexing Patterns from One Language for the Benefit of Others. AAAI 2004: 406-411 - [c48]Stefan Schulz, Udo Hahn:
A Description Logics Approach to CGPs. CGP 2004: 137-141 - [c47]Stefan Schulz, Kornél G. Markó, Eduardo Sbrissia, Percy Nohama, Udo Hahn:
Cognate Mapping - A Heuristic Strategy for the Semi-Supervised Acquisition of a Spanish Lexicon from a Portuguese Seed Lexicon. COLING 2004 - [c46]Stefan Schulz:
DL Requirements from Medicine and Biology. Description Logics 2004 - [c45]Stefan Schulz, Udo Hahn:
Representing Natural Kinds by Spatial Inclusion and Containment. ECAI 2004: 403-410 - [c44]Michael Poprat, Udo Hahn, Joachim Wermter, Stefan Schulz, Kornél G. Markó:
An Experimental Assessment of Direct Versus. Interlingual Translation for Cross-Language Information Retrieval. FLAIRS 2004: 55-60 - [c43]Stefan Schulz, Udo Hahn:
Parthood as Spatial Inclusion - Evidence from biomedical Conceptualizations. KR 2004: 55-63 - [c42]Stefan Schulz, Udo Hahn:
Towards a computational paradigm for biomedical structure. KR-MED 2004: 63-71 - [c41]Kornél G. Markó, Udo Hahn, Stefan Schulz, Philipp Daumke, Percy Nohama:
Interlingual Indexing across Different Languages. RIAO 2004: 82-99 - [c40]Udo Hahn, Kornél G. Markó, Michael Poprat, Stefan Schulz, Joachim Wermter, Percy Nohama:
Crossing Languages in Text Retrieval via an Interlingua. RIAO 2004: 100-115 - 2003
- [c39]Rainer Beck, Stefan Schulz:
Logic-based Remodeling of the Digital Anatomist Foundational Model. AMIA 2003 - [c38]Kornél G. Markó, Philipp Daumke, Stefan Schulz, Udo Hahn:
Cross-language MeSH Indexing using Morpho-Semantic Normalization. AMIA 2003 - [c37]Udo Hahn, Stefan Schulz:
Subword Retrieval on Biomedical Documents. FLAIRS 2003: 250-254 - [c36]Udo Hahn, Martin Honeck, Stefan Schulz:
Subword-Based Text Retrieval. HICSS 2003: 108 - [c35]Werner Ceusters, Ignace Desimpel, Barry Smith, Stefan Schulz:
Using Cross-Lingual Information to Cope with Underspecification in Formal Ontologies. MIE 2003: 391-396 - [c34]Udo Hahn, Stefan Schulz:
Towards a Broad-Coverage Biomedical Ontology Based on Description Logics. Pacific Symposium on Biocomputing 2003: 577-588 - 2002
- [c33]Stefan Schulz, Martin Honeck, Udo Hahn:
Biomedical text retrieval in languages with a complex morphology. ACL Workshop on Natural Language Processing in the Biomedical Domain 2002: 61-68 - [c32]Stefan Schulz, Udo Hahn:
A knowledge representation view on biomedical structure and function. AMIA 2002 - [c31]Stefan Schulz, Rüdiger Klar, Udo Hahn, Martin Romacker, Percy Nohama, Lúcio J. Dias Matias:
MORPHOSAURUS: Crosslingual Medical Text Retrieval by Subword Indexing. AMIA 2002 - [c30]Gesa Weske-Heck, Albrecht Zaiss, Matthias Zabel, Stefan Schulz, Wolfgang Giere, Michael Schopen, Rüdiger Klar:
The German specialist lexicon. AMIA 2002 - [c29]Udo Hahn, Stefan Schulz:
Turning Lead into Gold? Feeding a Formal Knowledge Base with Informal Conceptual Knowledge. EKAW 2002: 182-196 - [c28]Stefan Schulz:
Necessary Parts and Wholes in Bio-Ontologies. KR 2002: 387-394 - [c27]Udo Hahn, Stefan Schulz:
Towards Very Large Ontologies for Medical Language Processing. LREC 2002 - [c26]Udo Hahn, Martin Romacker, Stefan Schulz:
Creating Knowledge Repositories from Biomedical Reports: The MEDSYNDIKATE Text Mining System. Pacific Symposium on Biocomputing 2002: 338-349 - [c25]Udo Hahn, Stefan Schulz:
240, 000 concepts and relations-towards mega knowledge bases for real-world applications. SMC (2) 2002: 6 - 2001
- [c24]Stefan Schulz, Udo Hahn:
Parts, Locations, and Holes - Formal Reasoning about Anatomical Structures. AIME 2001: 293-303 - [c23]Udo Hahn, Martin Honeck, Michael Piotrowski, Stefan Schulz:
Subword segmentation-leveling out morphological variations for medical document retrieval. AMIA 2001 - [c22]Stefan Schulz:
Bidirectional mereological reasoning in anatomical knowledge bases. AMIA 2001 - [c21]Donia Scott, Nadjet Bouayad-Agha, Richard Power, Stefan Schulz, Rainer Beck, Dawn Murphy, Rose Lockwood:
PILLS: A Multilingual Authoring System for Patient Information. AMIA 2001 - [c20]Udo Hahn, Stefan Schulz:
Building a Large Knowledge Base Semi-Automatically. FLAIRS 2001: 222-226 - [c19]Stefan Schulz, Udo Hahn:
Mereotopological reasoning about parts and (w)holes in bio-ontologies. FOIS 2001: 210-221 - [c18]Udo Hahn, Martin Honeck, Stefan Schulz:
A Search Engine for Morphologically Complex Languages. IDA 2001: 73-83 - [c17]Stefan Schulz, Martin Honeck, Udo Hahn:
Indexing Medical WWW Documents by Morphemes. MedInfo 2001: 266-270 - [c16]Rüdiger Klar, Stefan Schlachter, Stefan Schulz:
Health Informatics World Wide - A WWW Service for the Health Informatics Community. MedInfo 2001: 357-360 - 2000
- [c15]Udo Hahn, Stefan Schulz:
Towards Very Large Terminological Knowledge Bases: A Case Study from Medicine. AI 2000: 176-186 - [c14]Pius Franz, Albrecht Zaiss, Stefan Schulz, Udo Hahn, Rüdiger Klar:
Automated coding of diagnoses-three methods compared. AMIA 2000 - [c13]Udo Hahn, Martin Romacker, Stefan Schulz:
MedSynDiKATe-design considerations for an ontology-based medical text understanding system. AMIA 2000 - [c12]Stefan Schulz, Udo Hahn, Martin Romacker:
Modeling anatomical spatial relations with description logics. AMIA 2000 - [c11]Stefan Schulz, Udo Hahn:
Knowledge Engineering by Large-Scale Knowledge Reuse - Experience from the Medical Domain. KR 2000: 601-610 - 1999
- [c10]Udo Hahn, Stefan Schulz, Martin Romacker:
Partonomic Reasoning as Taxonomic Reasoning in Medicine. AAAI/IAAI 1999: 271-276 - [c9]Martin Romacker, Stefan Schulz, Udo Hahn:
Small Is Beautiful - Compact Semantics for Medical Language Processing. AIMDM 1999: 400-410 - [c8]Martin Romacker, Stefan Schulz, Udo Hahn:
Streamlining semantic interpretation for medical narratives. AMIA 1999 - [c7]Stefan Schulz, Giovanni Faggioli, Martin Romacker, Udo Hahn:
Automatic Import and Manual Refinement of Medical Knowledge. AMIA 1999 - [c6]Stefan Schulz, Martin Romacker, Pius Franz, Albrecht Zaiss, Rüdiger Klar, Udo Hahn:
Towards a Multilingual Morpheme Thesaurus for Medical Free-Text Retrieval. MIE 1999: 891-894 - 1998
- [c5]Stefan Schulz, Thomas Auhuber, Ulrich Schrader, Rüdiger Klar:
Controlled Evaluation of a Computer-Based Atlas of Histopathology. AMIA 1998 - [c4]Stefan Schulz, Martin Romacker, Udo Hahn:
Part-whole reasoning in medical ontologies revisited-introducing SEP triplets into classification-based description logics. AMIA 1998 - [c3]Stefan Schulz, Martin Romacker, Udo Hahn:
Part-Whole Reasoning in Medical Knowledge Bases Using Description Logics. KI 1998: 237-248 - [c2]Udo Hahn, Martin Romacker, Stefan Schulz:
Why Discourse Structures in Medical Reports Matter for the Validity of Automatically Generated Text Knowledge Bases. MedInfo 1998: 633-638 - 1996
- [c1]Albrecht Zaiß, Stefan Schulz, B. Graubner, Rüdiger Klar:
Überleitungstabelle zwischen ICD-9 und ICD-10. GMDS 1996: 80-85
Parts in Books or Collections
- 2004
- [p1]Udo Hahn, Stefan Schulz:
Building a Very Large Ontology from Medical Thesauri. Handbook on Ontologies 2004: 133-150
Editorship
- 2008
- [e1]Stig Kjær Andersen, Gunnar O. Klein, Stefan Schulz, Jos Aarts:
eHealth Beyond the Horizon - Get IT There, Proceedings of MIE2008, The XXIst International Congress of the European Federation for Medical Informatics, Göteborg, Sweden, May 25-28, 2008. Studies in Health Technology and Informatics 136, IOS Press 2008, ISBN 978-1-58603-864-9 [contents]
Data and Artifacts
- 2022
- [d1]Stefan Schulz:
GraSCCo. Zenodo, 2022
Informal and Other Publications
- 2024
- [i3]Natthanaphop Isaradech, Andrea Riedel, Wachiranun Sirikul, Markus Kreuzthaler, Stefan Schulz:
Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT. CoRR abs/2409.17683 (2024) - 2021
- [i2]Markus Kreuzthaler, Stefan Schulz:
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. CoRR abs/2112.13756 (2021) - 2008
- [i1]Stefan Schulz:
Named Entity or Entity Name? Ontologies and Text Mining for Life Sciences 2008
Coauthor Index
[j17] [j12] [j11] [j10] [j9] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c206] [c153] [c114] [c80] [c78] [c75] [c69] [c68] [c65] [c62] [c58] [c56] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c29] [c27] [c26] [c25] [c24] [c23] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c4] [c3] [c2] [p1]
[j53] [j52] [j51] [j50] [j48] [j40] [j34] [j33] [c221] [c220] [c219] [c218] [c216] [c215] [c214] [c213] [c212] [c210] [c209] [c208] [c207] [c205] [c204] [c203] [c197] [c196] [c193] [c184] [c182] [c175] [c173] [c168] [c164] [c162] [c159] [c154] [c152] [c151] [c145] [c137] [c118] [c112] [c102] [i3] [i2]
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