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Publication search results
found 427 matches
- 2024
- Fuad A. Zahra, Rohit J. Kate:
Obtaining clinical term embeddings from SNOMED CT ontology. J. Biomed. Informatics 149: 104560 (2024) - 2023
- 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) - Rashmie Abeysinghe, Fengbo Zheng, Elmer V. Bernstam, Jay Shi, Olivier Bodenreider, Licong Cui:
A deep learning approach to identify missing is-a relations in SNOMED CT. J. Am. Medical Informatics Assoc. 30(3): 475-484 (2023) - Musaab Elkheder, Arturo Gonzalez-Izquierdo, Muhammad Qummer Ul Arfeen, Valerie Kuan, R. Thomas Lumbers, Spiros C. Denaxas, Anoop D. Shah:
Translating and evaluating historic phenotyping algorithms using SNOMED CT. J. Am. Medical Informatics Assoc. 30(2): 222-232 (2023) - Zerina Lokmic-Tomkins, Lorraine J. Block, Shauna Davies, Lisa Reid, Charlene Esteban Ronquillo, Hanna von Gerich, Laura-Maria Peltonen:
Evaluating the representation of disaster hazards in SNOMED CT: gaps and opportunities. J. Am. Medical Informatics Assoc. 30(11): 1762-1772 (2023) - Abigail Newbury, Hao Liu, Betina Ross S. Idnay, Chunhua Weng:
The suitability of UMLS and SNOMED-CT for encoding outcome concepts. J. Am. Medical Informatics Assoc. 30(12): 1895-1903 (2023) - Javier Castell-Díaz, José Antonio Miñarro-Giménez, Catalina Martínez-Costa:
Supporting SNOMED CT postcoordination with knowledge graph embeddings. J. Biomed. Informatics 139: 104297 (2023) - Mingzhou Fu, Yu Yan, Loes Olde Loohuis, Timothy S. Chang:
Defining the distance between diseases using SNOMED CT embeddings. J. Biomed. Informatics 139: 104307 (2023) - Stephen P. Fortin, Jenna Reps, Patrick B. Ryan:
Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary. BMC Medical Informatics Decis. Mak. 23(1): 109 (2023) - Xubing Hao, Rashmie Abeysinghe, Kirk Roberts, Licong Cui:
Logical definition-based identification of potential missing concepts in SNOMED CT. BMC Medical Informatics Decis. Mak. 23(1): 87 (2023) - Rashmi Burse, Michela Bertolotto, Gavin McArdle:
Facilitating SNOMED-CT Template Creation by Targeting Stopwords. HEALTHINF 2023: 279-286 - Abdul Mateen Rajput, Karen Triep, Olga Endrich:
Semi-Automated Approach to Retrieve SNOMED CT Hierarchy of Clinical Terms by Using Terminology Server. dHealth 2023: 142-147 - Werner Ceusters, Anuwat Pengput:
Axiomatizing SNOMED CT Disorders: Should There Be Room for Interpretation? FOIS 2023: 140-154 - Ankur Agrawal, Kashifuddin Qazi:
Quality Assurance of SNOMED CT using Lexical Similarity and Sibling Relationships. ICMHI 2023: 91-97 - Sara Carvalho, Cornelia Wermuth, Rute Costa:
Definitions in SNOMED CT Through the Lens of Terminology: From Formal to Textual. MDTT 2023 - Seeun Kim, Soo-Yong Shin, Ji Eun Hwang, Hyeoun-Ae Park:
Current Status of SNOMED CT National Extensions and Terminology Managements. MedInfo 2023: 1345-1346 - Anuwat Pengput, Werner Ceusters:
Setting the Scene to Link SNOMED CT to Realism-Based Ontologies. MedInfo 2023: 84-88 - Akhila Abdulnazar, Markus Kreuzthaler, Roland Roller, Stefan Schulz:
SapBERT-Based Medical Concept Normalization Using SNOMED CT. MIE 2023: 825-826 - Tom Lundholm, Stefano Bonacina:
Building an Ontology for Traditional Medicine by Comparing Traditional Medicine Information of Chapter 26 of ICD-11 with SNOMED CT. MIE 2023: 731-735 - Sumi Sung, Hyeoun-Ae Park, Seul Ki Park, Hyesil Jung, Hannah Kang, MinSun Lee:
Mapping Korean National Health Insurance Claim Codes for Laboratory Test to SNOMED CT. MIE 2023: 78-82 - Anton Hristov, Petar Ivanov, Anna Aksenova, Tsvetan Asamov, Pavlin Gyurov, Todor Primov, Svetla Boytcheva:
Clinical Text Classification to SNOMED CT Codes Using Transformers Trained on Linked Open Medical Ontologies. RANLP 2023: 519-526 - 2022
- Eunsuk Chang:
Cohort identification from Free-Text Clinical Notes using SNOMED CT's Semantic Relations. University of North Carolina, Chapel Hill, USA, 2022 - Rashmi Burse, Gavin McArdle, Michela Bertolotto:
Targeting stopwords for quality assurance of SNOMED-CT. Int. J. Medical Informatics 167: 104870 (2022) - Yani Chen, Danqing Hu, Mengyang Li, Huilong Duan, Xudong Lu:
Automatic SNOMED CT coding of Chinese clinical terms via attention-based semantic matching. Int. J. Medical Informatics 159: 104676 (2022) - Peter Jones, Jess Ho, Hayley Burbridge, Dane Hill, Rana Khalil, Inia Raumati:
Accuracy of real-time SNOMED-CT coding by clinicians in an urban tertiary emergency department: A retrospective cohort study. Int. J. Medical Informatics 165: 104813 (2022) - A Ram, Clair A. Kronk, Jacob Eleazer, Joseph L. Goulet, Cynthia Brandt, Karen H. Wang:
Transphobia, encoded: an examination of trans-specific terminology in SNOMED CT and ICD-10-CM. J. Am. Medical Informatics Assoc. 29(2): 404-410 (2022) - Eunsuk Chang:
A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS. J. Biomed. Informatics 131: 104118 (2022) - Stephen P. Fortin, Jenna Reps, Patrick B. Ryan:
Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary. BMC Medical Informatics Decis. Mak. 22(1): 261 (2022) - Ayan Chatterjee, Nibedita Pahari, Andreas Prinz:
HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. Sensors 22(10): 3756 (2022) - Eun Suk Chang, Javed Mostafa:
Cohort Identification from Free-Text Clinical Notes Using SNOMED CT's Hierarchical Semantic Relations. AMIA 2022
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