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Semantic ScholarDanielle L. Mowery
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- affiliation: University of Pittsburgh, Department of Biomedical Informatics
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2010 – today
- 2017
[c36]Alec B. Chapman, Danielle L. Mowery, Douglas S. Swords, Wendy W. Chapman, Brian T. Bucher:
Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing. AMIA 2017- [c35]Danielle L. Mowery, Brent D. Hill, Mingyuan Zhang, Wendy W. Chapman, Lisa A. Cannon-Albright, Jennifer Majersik:
A Comparison of Stroke Classifiers Leveraging Hospital Billing Codes versus Natural Language Processing. AMIA 2017 - [c34]Danielle L. Mowery, Brett R. South, Olga Patterson, Shu-Hong Zhu, Mike Conway:
Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study. BioNLP 2017: 282-286 - [c33]Brian T. Bucher, Danielle L. Mowery, Melissa Castine, Wendy W. Chapman:
Towards Automatic Detection of Surgical Site Infections. CRI 2017 - [c32]Elizabeth Cary, Aaron M. Secrest, Chrissy Daniels, Wendy W. Chapman, Mike Conway, Danielle L. Mowery:
Classifying Sentiment of Free-Text Comments in Patient Satisfaction Surveys. CRI 2017 - [c31]Danielle L. Mowery, Melissa Castine, Erin Madden, Salomeh Keyhani, Wendy W. Chapman:
Developing and Assessing the Complexity of a Knowledge Base for Extracting Indications from Carotid Ultrasounds for the Veterans Health Administration. CRI 2017 - [c30]Brett R. South, Lee M. Christensen, Danielle L. Mowery, Melissa Castine, Marzieh Vali, Marjorie Carter, Mike Conway, Adi V. Gundlapalli, Wendy W. Chapman, Salomeh Keyhani:
Automatic Extraction of Social Determinants of Health from Veterans Affairs Clinical Documents using Natural Language Processing. CRI 2017 - [c29]Jianlin Shi, Danielle L. Mowery, Mingyuan Zhang, Jessica Sanders, Wendy W. Chapman, Lori Gawron:
Extracting Intrauterine Device Usage from Clinical Texts Using Natural Language Processing. ICHI 2017: 568-571 - [i1]Danielle L. Mowery, Craig Bryan, Mike Conway:
Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health. CoRR abs/1701.08229 (2017) - 2016
- [j7]Mike Conway, Artem Khojoyan, Fariba Fana, William Scuba, Melissa Castine, Danielle L. Mowery, Wendy W. Chapman, Simon Jupp:
Developing a web-based SKOS editor. J. Biomedical Semantics 7: 5 (2016) - [j6]Danielle L. Mowery, Brian E. Chapman, Mike Conway, Brett R. South, Erin Madden, Salomeh Keyhani, Wendy W. Chapman:
Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis. J. Biomedical Semantics 7: 26 (2016) - [j5]William Scuba, Melissa Tharp, Danielle L. Mowery, Eugene Tseytlin, Yang Liu, Frank A. Drews, Wendy W. Chapman:
Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction. J. Biomedical Semantics 7: 42 (2016) - [j4]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martínez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W. Chapman:
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. J. Biomedical Semantics 7: 43 (2016) - [c28]Kristina Doing-Harris, Danielle L. Mowery, Chrissy Daniels, Wendy W. Chapman, Mike Conway:
Understanding patient satisfaction with received healthcare services: A natural language processing approach. AMIA 2016 - [c27]Danielle L. Mowery, Kristina M. Doing-Harris, Wendy W. Chapman, Chrissy Daniels, Mike Conway:
A Characterization of Emotional Valence to Support Review of Free-Text Press-Ganey Patient Satisfaction Survey Responses. AMIA 2016 - [c26]Jay Patel, Zasim Azhar Siddiqui, Danielle L. Mowery, Thankam P. Thyvalikakath:
Annotating patient smoking status from electronic dental record histories. AMIA 2016 - [c25]Jianlin Shi, Danielle L. Mowery, Kristina M. Doing-Harris, John F. Hurdle:
RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. AMIA 2016 - [c24]Sumithra Velupillai, Danielle L. Mowery, Mike Conway, John F. Hurdle, Brent Kious:
Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes. BioNLP@ACL 2016: 92-101 - [c23]Brian E. Chapman, Danielle L. Mowery, Evan Narasimhan, Neel Patel, Wendy W. Chapman, Marta E. Heilbrun:
Assessing the Feasibility of an Automated Suggestion System for Communicating Critical Findings from Chest Radiology Reports to Referring Physicians. BioNLP@ACL 2016: 181-185 - [c22]Danielle L. Mowery, Albert Park, Craig Bryan, Mike Conway:
Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health. PEOPLES@COLING 2016: 182-191 - 2015
- [c21]Brett R. South, Danielle L. Mowery, Lee M. Christensen, Adi V. Gundlapalli, Melissa Tharp, Marzieh Vali, Marjorie E. Carter, Mike Conway, Salomeh Keyhani, Wendy W. Chapman:
Annotating ADLs and IADLs in Veterans Affairs Clinical Documents. AMIA 2015 - [c20]Sumithra Velupillai, Danielle L. Mowery, Samir E. AbdelRahman, Lee M. Christensen, Wendy W. Chapman:
Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. AMIA 2015 - [c19]Danielle L. Mowery, Craig Bryan, Mike Conway:
Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data. CLPsych@HLT-NAACL 2015: 89-98 - [c18]Sumithra Velupillai, Danielle L. Mowery, Samir E. AbdelRahman, Lee M. Christensen, Wendy W. Chapman:
BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge. SemEval@NAACL-HLT 2015: 815-819 - 2014
- [j3]Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, Danielle L. Mowery, Brian E. Chapman, Hercules Dalianis, Wendy W. Chapman:
Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe. Artificial Intelligence in Medicine 61(3): 137-144 (2014) - [j2]Brett R. South, Danielle L. Mowery, Ying Suo, Jianwei Leng, Óscar Ferrández, Stéphane M. Meystre, Wendy W. Chapman:
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. Journal of Biomedical Informatics 50: 162-172 (2014) - [c17]Danielle L. Mowery, Daniel Franc, Shazia Ashfaq, Eric Cheng, Tania Zamora, Wendy W. Chapman, Brian E. Chapman:
Developing a Knowledge Base for Detecting Carotid Stenosis with pyConText. AMIA 2014 - [c16]Brett R. South, Danielle L. Mowery, Chris Leng, Stéphane M. Meystre, Wendy W. Chapman:
A System Usability Study Assessing a Machine-Assisted Interactive Interface to Support Annotation of Protected Health Information in Clinical Texts. AMIA 2014 - [c15]Sumithra Velupillai, Danielle L. Mowery, Lee M. Christensen, Noemie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014. AMIA 2014 - [c14]Danielle L. Mowery, Mindy K. Ross, Sumithra Velupillai, Stéphane M. Meystre, Janyce Wiebe, Wendy W. Chapman:
Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List. BioNLP@ACL 2014: 54-58 - [c13]Hanna Suominen, Tobias Schreck, Gondy Leroy, Harry Hochheiser, Lorraine Goeuriot, Liadh Kelly, Danielle L. Mowery, Jaume Nualart, Gabriela Ferraro, Daniel A. Keim:
Task 1 of the CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 1-30 - [c12]Danielle L. Mowery, Sumithra Velupillai, Brett R. South, Lee M. Christensen, David Martínez, Liadh Kelly, Lorraine Goeuriot, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Task 2: ShARe/CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 31-42 - [c11]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Tobias Schreck, Gondy Leroy, Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman, David Martínez, Guido Zuccon, João R. M. Palotti:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014. CLEF 2014: 172-191 - 2013
- [c10]Danielle L. Mowery, Pamela W. Jordan, Janyce Wiebe, Henk Harkema, Wendy W. Chapman:
Semantic Annotation of Clinical Events for Generating a Problem List. AMIA 2013 - [c9]Danielle L. Mowery, Brett R. South, Jianwei Leng, Laura-Maria Murtola, Riitta Danielsson-Ojala, Sanna Salanterä, Wendy W. Chapman:
Creating a Reference Standard of Acronym and Abbreviation Annotations for the ShARe/CLEF eHealth Challenge 2013. AMIA 2013 - [c8]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Laura-Maria Murtola, Sanna Salanterä, Hanna Suominen, David Martínez, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Task 2: ShARe/CLEF eHealth Evaluation Lab 2013. CLEF (Working Notes) 2013 - [c7]Hanna Suominen, Sanna Salanterä, Sumithra Velupillai, Wendy Webber Chapman, Guergana K. Savova, Noemie Elhadad, Sameer Pradhan, Brett R. South, Danielle L. Mowery, Gareth J. F. Jones, Johannes Leveling, Liadh Kelly, Lorraine Goeuriot, David Martínez, Guido Zuccon:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. CLEF 2013: 212-231 - [c6]Wendy Webber Chapman, Dieter Hillert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Mike Conway, Melissa Tharp, Danielle L. Mowery, Louise Deléger:
Extending the NegEx Lexicon for Multiple Languages. MedInfo 2013: 677-681 - 2012
- [j1]Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman:
Building an automated SOAP classifier for emergency department reports. Journal of Biomedical Informatics 45(1): 71-81 (2012) - [c5]Brett R. South, Danielle L. Mowery, Óscar Ferrández, Shuying Shen, Ying Suo, Mingyuan Zhang, Annie Chen, Liqin Wang, Stéphane M. Meystre, Wendy Webber Chapman:
On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. AMIA 2012 - [c4]Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman:
Medical diagnosis lost in translation - Analysis of uncertainty and negation expressions in English and Swedish clinical texts. BioNLP@HLT-NAACL 2012: 56-64 - [c3]Danielle L. Mowery, Pamela W. Jordan, Janyce Wiebe, Wendy Webber Chapman, Lin Liu:
Does Domain Knowledge Matter for Assertion Annotation in Clinical Texts? HISB 2012: 136
2000 – 2009
- 2009
- [c2]Danielle L. Mowery, Henk Harkema, John N. Dowling, Jonathan L. Lustgarten, Wendy W. Chapman:
Distinguishing Historical from Current Problems in Clinical Reports - Which Textual Features Help? BioNLP@HLT-NAACL 2009: 10-18 - 2008
- [c1]Danielle L. Mowery, Henk Harkema, Wendy W. Chapman:
Temporal Annotation of Clinical Text. BioNLP 2008: 106-107
Coauthor Index
Wendy W. Chapman
aka: Wendy Webber Chapman
aka: Wendy Webber Chapman
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last updated on 2018-01-25 22:12 CET by the dblp team