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ORCIDWendy W. Chapman
Wendy Webber Chapman
Person information
- affiliation: University of Melbourne, Centre for Digital Transformation of Health, Melbourne, VIC, Australia
- affiliation: University of Utah, Department of Biomedical Informatics, Salt Lake City, UT, USA
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2020 – today
- 2023
[j48]Tamara Vagg
, Kevin F. Deasy, Wendy W. Chapman, Sarath C. Ranganathan, Barry J. Plant, Shivanthan Shanthikumar:
Virtual monitoring in CF - the importance of continuous monitoring in a multi-organ chronic condition. Frontiers Digit. Health 5 (2023)- [j47]Christopher McMaster, Julia Chan, David F. L. Liew, Elizabeth Su, Albert G. Frauman, Wendy W. Chapman, Douglas E. V. Pires:
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions. J. Biomed. Informatics 137: 104265 (2023) - [c95]Brian E. Chapman, Wendy W. Chapman, Jeremiah Chapman:
Analyzing the Spread of Informatics with PubMed. MedInfo 2023: 289-293 - [c94]Kara Burns, Kit Huckvale, Ann Borda, Cecily Gilbert, Hasan Ferdous, Mahima Kalla, Wendy W. Chapman, Daniel Capurro:
Adapting an Environmental Scan for 'Insights Reporting': Learnings from an Online Brain Cancer Peer Support Platform. MedInfo 2023: 294-298 - [c93]Jamie L. W. Rhoads, Lee M. Christensen, Skylar Westerdahl, Vanessa Stevens, Wendy W. Chapman, Mike Conway:
Automatic Extraction of Skin and Soft Tissue Infection Status from Clinical Notes. MedInfo 2023: 579-583 - [c92]Sathana Dushyanthen, Dawn Choo, Meg Perrier, Kathleen Gray, Daniel Capurro, Douglas Pires, Brian E. Chapman, Graeme K. Hart, Kit Huckvale, Wendy W. Chapman, Kayley M. Lyons:
Designing an Interprofessional Online Course to Foster Learning Health Systems. MedInfo 2023: 1241-1245 - [c91]Kit Huckvale, Frank Smolenaers, Hasan Ferdous, Kara Burns, Mahima Kalla, Mady Mani, Daniel Capurro, Wendy W. Chapman:
A Hybrid Physical-Digital Simulation Laboratory to Expedite Context-Aware Design and Usability Testing in Digital Health. MedInfo 2023: 1513-1514 - 2022
- [c90]Kit Huckvale, Wendy W. Chapman, Daniel Capurro:
The Validitron Sandbox: a cloud environment to support prototyping, workflow design and integration testing of data-focused digital health applications. AMIA 2022 - 2021
- [j46]Adela Grando, Jessica S. Ancker, Donghua Tao, Rachael Howe, Clare Coonan, Merida L. Johns, Wendy W. Chapman:
Design and evaluation of a Women in American Medical Informatics Association (AMIA) leadership program. J. Am. Medical Informatics Assoc. 29(1): 163-170 (2021) - [j45]Ruth M. Reeves, Lee M. Christensen, Jeremiah R. Brown, Michael Conway, Maxwell Levis, Glenn T. Gobbel, Rashmee U. Shah, Christine Goodrich, Iben Ricket, Freneka F. Minter, Andrew Bohm, Bruce E. Bray, Michael E. Matheny, Wendy W. Chapman:
Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. J. Biomed. Informatics 120: 103851 (2021) - [c89]Jia-Wen Guo, Katherine A. Sward, Ann M. Lyons, Susan L. Beck, Gary W. Donaldson, Wendy W. Chapman, Lewis J. Frey:
Impact of Comorbidity Profiles on Pain Trajectories in Breast Cancer Patients by Using Electronic Health Record Data. AMIA 2021 - 2020
- [c88]Wendy W. Chapman, Adela Grando, Merida L. Johns, Guergana Savova, Maia Hightower:
Training Women for Leadership in Informatics and Digital Health: A Report from the Inaugural Women in AMIA Leadership Program. AMIA 2020 - [c87]Jia-Wen Guo, Christina L. Radloff, Katherine A. Sward, Susan L. Beck, Wendy W. Chapman, Gary W. Donaldson, Lewis J. Frey:
A Corpus Analysis of Social Isolation from Clinical Notes of Patients with Cancer. AMIA 2020
2010 – 2019
- 2019
- [j44]Gaurav Trivedi, Esmaeel R. Dadashzadeh, Robert M. Handzel, Wendy W. Chapman, Shyam Visweswaran, Harry Hochheiser:
Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports. Appl. Clin. Inform. 10(04): 655-669 (2019) - [j43]Mike Conway, Salomeh Keyhani, Lee M. Christensen, Brett R. South, Marzieh Vali, Louise C. Walter, Danielle L. Mowery, Samir E. AbdelRahman, Wendy W. Chapman:
Moonstone: a novel natural language processing system for inferring social risk from clinical narratives. J. Biomed. Semant. 10(1): 6:1-6:10 (2019) - [j42]Uwe Aickelin, Wendy W. Chapman, Graeme K. Hart:
Health Informatics - Ambitions and Purpose. Frontiers Digit. Health 1: 2 (2019) - [c86]Brian T. Bucher, Jianlin Shi, Robert J. Pettit, Jeffrey P. Ferraro, Wendy W. Chapman, Adi V. Gundlapalli:
Determination of Marital Status of Patients from Structured and Unstructured Electronic Healthcare Data. AMIA 2019 - [c85]Jia-Wen Guo, Christina L. Radloff, Susan L. Beck, Gary W. Donaldson, Wendy W. Chapman, Katherine A. Sward, Lewis J. Frey:
Researchers' Perspectives on Symptoms related to Cancer Pain: A Network Analysis of Literatures. AMIA 2019 - [c84]Jianlin Shi, Kensaku Kawamoto, Wendy Kohlmann, Danielle L. Mowery, Richard L. Bradshaw, Subhadeep Deep, Wendy W. Chapman, Guilherme Del Fiol:
Extracting Disease Onset from Family History Comments in the Electronic Health Record using Fast Healthcare Interoperability Resources. AMIA 2019 - [c83]Jianlin Shi, Siru Liu, Liese C. Pruitt, Carolyn Luppens, Jeffrey P. Ferraro, Adi V. Gundlapalli, Wendy W. Chapman, Brian T. Bucher:
Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance. AMIA 2019 - 2018
- [j41]Gaurav Trivedi, Phuong Pham, Wendy W. Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser:
NLPReViz: an interactive tool for natural language processing on clinical text. J. Am. Medical Informatics Assoc. 25(1): 81-87 (2018) - [j40]Sumithra Velupillai, Hanna Suominen, Maria Liakata, Angus Roberts, Anoop D. Shah, Katherine Morley, David Osborn, Joseph Hayes, Robert Stewart, Johnny Downs, Wendy W. Chapman, Rina Dutta:
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. J. Biomed. Informatics 88: 11-19 (2018) - [c82]Rebecca Crowley Jacobson, Wendy W. Chapman, Hongfang Liu, Olga V. Patterson, Daniel S. Zisook:
Natural Language Processing at Scale - Perspectives from Five Healthcare Organizations. AMIA 2018 - [c81]Siru Liu, Jeffrey P. Ferraro, Adi V. Gundlapalli, Wendy W. Chapman, Brian T. Bucher:
Detection of Healthcare-Associated Infections Using Electronic Health Record Data. AMIA 2018 - [c80]Danielle L. Mowery, Luke Martin, Brett R. South, Ellen Morrow, William Peche, Eric Wiesner, Wendy W. Chapman, Benjamin S. Brooke:
Detecting Current Episodes of Cholecystitis-related Pain from Veterans Affairs Clinical Notes using Natural Language Processing. AMIA 2018 - [c79]Ruth M. Reeves, Brett R. South, Glenn T. Gobbel, Lee M. Christensen, Paul Thompson, Wendy W. Chapman, Michael E. Matheny, Jeremiah R. Brown:
Annotating Social Determinants of Health and Functional Status Information Using Publicly Accessible Corpora. AMIA 2018 - [c78]Gaurav Trivedi, Robert M. Handzel, Shyam Visweswaran, Wendy W. Chapman, Harry Hochheiser:
An Interactive NLP Tool for Signout Note Preparation. ICHI 2018: 426-428 - 2017
- [c77]Wendy W. Chapman, Murielle S. Beene, Omolola Ogunyemi, Genevieve B. Melton, Laura K. Wiley:
"My work will surely speak for itself: " Visibility, Networking, and Self Promotion in Informatics. AMIA 2017 - [c76]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 - [c75]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 - [c74]Brian T. Bucher, Danielle L. Mowery, Melissa Castine, Wendy W. Chapman:
Towards Automatic Detection of Surgical Site Infections. CRI 2017 - [c73]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 - [c72]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 - [c71]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 - [c70]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]Gaurav Trivedi, Phuong Pham, Wendy W. Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser:
An Interactive Tool for Natural Language Processing on Clinical Text. CoRR abs/1707.01890 (2017) - 2016
- [j39]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. Biomed. Semant. 7: 5 (2016) - [j38]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. Biomed. Semant. 7: 26 (2016) - [j37]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. Biomed. Semant. 7: 42 (2016) - [j36]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. Biomed. Semant. 7: 43 (2016) - [c69]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 - [c68]Thomas Ginter, Lalindra De Silva, Olga V. Patterson, William Scuba, Wendy W. Chapman, Scott L. DuVall:
VIP: A Framework for Mining Clinical Concepts Using Knowledge Author Ontologies and Apache UIMA. AMIA 2016 - [c67]Rebecca Jacobson, Suzanne Bakken, Wendy W. Chapman, Valerie Florance, Jessica D. Tenenbaum:
Women in Informatics Leadership Forum. AMIA 2016 - [c66]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 - [c65]Ruth M. Reeves, Marcus Verhagen, Cynthia Brandt, Wendy W. Chapman, Michael E. Matheny, Steven H. Brown, Brian Marx, Theodore Speroff:
Event Coreference in Support of Temporal Reasoning in Mental Health Notes. AMIA 2016 - [c64]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 - 2015
- [j35]Sameer Pradhan, Noémie Elhadad, Brett R. South, David Martínez, Lee M. Christensen, Amy Vogel, Hanna Suominen, Wendy W. Chapman, Guergana Savova:
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. J. Am. Medical Informatics Assoc. 22(1): 143-154 (2015) - [c63]Glenn T. Gobbel, Ruth M. Reeves, Brett R. South, Wendy W. Chapman, Jay Jarman, Steven Lay, Michael E. Matheny:
RapTAT: A Tool for Assisted Annotation and Reviewer Training via Online Machine Learning. AMIA 2015 - [c62]Ruth M. Reeves, Wendy W. Chapman, Dezon Finch, Jennifer H. Garvin, Glenn T. Gobbel:
Developing Natural Language Processing Systems for Healthcare. AMIA 2015 - [c61]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 - [c60]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 - [c59]Noémie Elhadad, Sameer Pradhan, Sharon Lipsky Gorman, Suresh Manandhar, Wendy W. Chapman, Guergana K. Savova:
SemEval-2015 Task 14: Analysis of Clinical Text. SemEval@NAACL-HLT 2015: 303-310 - [c58]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
- [j34]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. Artif. Intell. Medicine 61(3): 137-144 (2014) - [j33]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. J. Biomed. Informatics 50: 162-172 (2014) - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]Sameer Pradhan, Noémie Elhadad, Wendy W. Chapman, Suresh Manandhar, Guergana Savova:
SemEval-2014 Task 7: Analysis of Clinical Text. SemEval@COLING 2014: 54-62 - 2013
- [j32]Stephen T. Wu, Vinod Kaggal, Dmitriy Dligach, James J. Masanz, Pei J. Chen, Lee Becker, Wendy Webber Chapman, Guergana K. Savova, Hongfang Liu, Christopher G. Chute:
A common type system for clinical natural language processing. J. Biomed. Semant. 4: 1 (2013) - [j31]Jeffrey P. Ferraro, Hal Daumé III, Scott L. DuVall, Wendy Webber Chapman, Henk Harkema, Peter J. Haug:
Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation. J. Am. Medical Informatics Assoc. 20(5): 931-939 (2013) - [j30]Mike Conway, John N. Dowling, Wendy Webber Chapman:
Using chief complaints for syndromic surveillance: A review of chief complaint based classifiers in North America. J. Biomed. Informatics 46(4): 734-743 (2013) - [c50]Aron Henriksson, Mike Conway, Martin Duneld, Wendy Webber Chapman:
Identifying Synonymy between SNOMED Clinical Terms of Varying Length Using Distributional Analysis of Electronic Health Records. AMIA 2013 - [c49]Yan Jiao, Wei Wei, Wendy W. Chapman:
An Information Extraction Based Search System for Clinical Records. AMIA 2013 - [c48]Yang Liu, Melissa Tharp, Matthew Hong, Harry Hochheiser, Wendy W. Chapman:
Schema Builder: A Web-based User Interface for Authoring and Sharing Natural-Language Processing Schemas. AMIA 2013 - [c47]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 - [c46]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 - [c45]Guergana Savova, Wendy Webber Chapman, Noemie Elhadad, Martha Palmer:
Panel: Shared Resources, Shared Code, and Shared Activities in Clinical Natural Language Processing. AMIA 2013 - [c44]Wei Wei, Yan Jiao, Wendy W. Chapman:
Knowledge Representation for Topic Model Based Discharge Summary Clustering. AMIA 2013 - [c43]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 - [c42]Sameer Pradhan, Noémie Elhadad, Brett R. South, David Martínez, Lee M. Christensen, Amy Vogel, Hanna Suominen, Wendy W. Chapman, Guergana K. Savova:
Task 1: ShARe/CLEF eHealth Evaluation Lab 2013. CLEF (Working Notes) 2013 - [c41]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 - [c40]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
- [j29]Lucila Ohno-Machado, Vineet Bafna, Aziz A. Boxwala, Brian E. Chapman, Wendy Webber Chapman, Kamalika Chaudhuri, Michele E. Day, Claudiu Farcas, Nathaniel D. Heintzman, Xiaoqian Jiang, Hyeoneui Kim, Jihoon Kim, Michael E. Matheny, Frederic S. Resnic, Staal Amund Vinterbo:
iDASH: integrating data for analysis, anonymization, and sharing. J. Am. Medical Informatics Assoc. 19(2): 196-201 (2012) - [j28]Jiaping Zheng, Wendy Webber Chapman, Timothy A. Miller, Chen Lin, Rebecca S. Crowley, Guergana K. Savova:
A system for coreference resolution for the clinical narrative. J. Am. Medical Informatics Assoc. 19(4): 660-667 (2012) - [j27]Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman:
Building an automated SOAP classifier for emergency department reports. J. Biomed. Informatics 45(1): 71-81 (2012) - [j26]Wendy Webber Chapman, Guergana K. Savova, Jiaping Zheng, Melissa Tharp, Rebecca S. Crowley:
Anaphoric reference in clinical reports: Characteristics of an annotated corpus. J. Biomed. Informatics 45(3): 507-521 (2012) - [j25]Hyeoneui Kim, Robert E. El-Kareh, Anupam Goel, F. N. U. Vineet, Wendy Webber Chapman:
An approach to improve LOINC mapping through augmentation of local test names. J. Biomed. Informatics 45(4): 651-657 (2012) - [c39]Shazia Ashfaq, Amilcare Gentili, Wendy Webber Chapman, Brian E. Chapman:
A Preliminary Approach for Creating a Semi-synthetic Multimodal Clinical Data Set from a Publicly Available Image Repository. AMIA 2012 - [c38]Mike Conway, Wendy Webber Chapman:
Discovering Lexical Instantiations of Clinical Concepts using Web Services, WordNet and Corpus Resources. AMIA 2012 - [c37]Abhishek Kumar, Wendy W. Chapman:
TxtVect: A Tool for Extracting Features from Clinical Documents. AMIA 2012 - [c36]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 - [c35]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 - [c34]Brett R. South, Shuying Shen, Jianwei Leng, Tyler Forbush, Scott L. DuVall, Wendy W. Chapman:
A Prototype Tool Set to Support Machine-Assisted Annotation. BioNLP@HLT-NAACL 2012: 130-139 - [c33]Wendy Webber Chapman:
Developing Resources to Assist in Development and Application of NLP to Clinical Texts. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c32]Brian E. Chapman, Wei Wei, Wendy Webber Chapman:
The Frequency of ConText Lexical Items in Diverse Medical Texts. HISB 2012: 135 - [c31]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 - 2011
- [j24]Guergana K. Savova, Wendy Webber Chapman, Jiaping Zheng, Rebecca S. Crowley:
Anaphoric relations in the clinical narrative: corpus creation. J. Am. Medical Informatics Assoc. 18(4): 459-465 (2011) - [j23]Wendy Webber Chapman, Prakash M. Nadkarni, Lynette Hirschman, Leonard W. D'Avolio, Guergana K. Savova, Özlem Uzuner:
Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. J. Am. Medical Informatics Assoc. 18(5): 540-543 (2011) - [j22]Prakash M. Nadkarni, Lucila Ohno-Machado, Wendy Webber Chapman:
Natural language processing: an introduction. J. Am. Medical Informatics Assoc. 18(5): 544-551 (2011) - [j21]Henk Harkema, Wendy Webber Chapman, Melissa I. Saul, Evan S. Dellon, Robert E. Schoen, Ateev Mehrotra:
Developing a natural language processing application for measuring the quality of colonoscopy procedures. J. Am. Medical Informatics Assoc. 18(Supplement): 150-156 (2011) - [j20]Brian E. Chapman, Sean Lee, Hyunseok Peter Kang, Wendy Webber Chapman:
Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm. J. Biomed. Informatics 44(5): 728-737 (2011) - [j19]Jiaping Zheng, Wendy Webber Chapman, Rebecca S. Crowley, Guergana K. Savova:
Coreference resolution: A review of general methodologies and applications in the clinical domain. J. Biomed. Informatics 44(6): 1113-1122 (2011) - 2010
- [j18]Wendy Webber Chapman, John N. Dowling, Atar Baer, David L. Buckeridge, Dennis Cochrane, Michael A. Conway, Peter L. Elkin, Jeremy U. Espino, Julia E. Gunn, Craig M. Hales, Lori Hutwagner, Mikaela Keller, Catherine Larson, Rebecca Noe, Anya Okhmatovskaia, Karen Olson, Marc Paladini, Matthew Scholer, Carol Sniegoski, David Thompson, Bill Lober:
Developing syndrome definitions based on consensus and current use. J. Am. Medical Informatics Assoc. 17(5): 595-601 (2010) - [j17]Heather A. Piwowar, Wendy Webber Chapman:
Public sharing of research datasets: A pilot study of associations. J. Informetrics 4(2): 148-156 (2010)
2000 – 2009
- 2009
- [j16]Brett R. South, Shuying Shen, Makoto Jones, Jennifer H. Garvin, Matthew H. Samore, Wendy Webber Chapman, Adi V. Gundlapalli:
Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease. BMC Bioinform. 10(S-9): 12 (2009) - [j15]Wendy Webber Chapman, K. Bretonnel Cohen:
Current issues in biomedical text mining and natural language processing. J. Biomed. Informatics 42(5): 757-759 (2009) - [j14]Dina Demner-Fushman, Wendy Webber Chapman, Clement J. McDonald:
What can natural language processing do for clinical decision support? J. Biomed. Informatics 42(5): 760-772 (2009) - [j13]Henk Harkema, John N. Dowling, Tyler Thornblade, Wendy Webber Chapman:
ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports. J. Biomed. Informatics 42(5): 839-851 (2009) - [c30]Jeannie Yuhaniak Irwin, Henk Harkema, Lee M. Christensen, Titus Schleyer, Peter J. Haug, Wendy Webber Chapman:
Methodology to Develop and Evaluate a Semantic Representation for NLP. AMIA 2009 - [c29]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 - [c28]Lee M. Christensen, Henk Harkema, Peter J. Haug, Jeannie Yuhaniak Irwin, Wendy W. Chapman:
ONYX: A System for the Semantic Analysis of Clinical Text. BioNLP@HLT-NAACL 2009: 19-27 - 2008
- [j12]Wendy Webber Chapman, John N. Dowling, George Hripcsak:
Evaluation of training with an annotation schema for manual annotation of clinical conditions from emergency department reports. Int. J. Medical Informatics 77(2): 107-113 (2008) - [j11]Jagan Dara, John N. Dowling, Debbie A. Travers, Gregory F. Cooper, Wendy Webber Chapman:
Evaluation of preprocessing techniques for chief complaint classification. J. Biomed. Informatics 41(4): 613-623 (2008) - [c27]Heather A. Piwowar, Wendy Webber Chapman:
Identifying Data Sharing in Biomedical Literature. AMIA 2008 - [c26]Brett R. South, Wendy W. Chapman, Sylvain Delisle, Shuying Shen, Ericka Kalp, Trish Perl, Matthew H. Samore, Adi V. Gundlapalli:
Optimizing A Syndromic Surveillance Text Classifier for Influenza-like Illness: Does Document Source Matter? AMIA 2008 - [c25]Rajiv Wadhwa, Douglas B. Fridsma, Melissa I. Saul, Louis E. Penrod, Shyam Visweswaran, Gregory F. Cooper, Wendy W. Chapman:
Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. AMIA 2008 - [c24]Danielle L. Mowery, Henk Harkema, Wendy W. Chapman:
Temporal Annotation of Clinical Text. BioNLP 2008: 106-107 - [c23]Heather A. Piwowar, Wendy Webber Chapman:
A review of journal policies for sharing research data. ELPUB 2008: 1-14 - 2007
- [j10]Kaihong Liu, Wendy Webber Chapman, Rebecca Hwa, Rebecca S. Crowley:
Methods Paper: Heuristic Sample Selection to Minimize Reference Standard Training Set for a Part-Of-Speech Tagger. J. Am. Medical Informatics Assoc. 14(5): 641-650 (2007) - [c22]Wendy W. Chapman, John N. Dowling, David Chu:
ConText: An Algorithm for Identifying Contextual Features from Clinical Text. BioNLP@ACL 2007: 81-88 - 2006
- [j9]Wendy Webber Chapman, John N. Dowling:
Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports. J. Biomed. Informatics 39(2): 196-208 (2006) - [c21]David Chu, John N. Dowling, Wendy W. Chapman:
Evaluating the Effectiveness of Four Contextual Features in Classifying Annotated Clinical Conditions in Emergency Department Reports. AMIA 2006 - 2005
- [j8]Wendy Webber Chapman, Lee M. Christensen, Michael M. Wagner, Peter J. Haug, Oleg Ivanov, John N. Dowling, Robert T. Olszewski:
Classifying free-text triage chief complaints into syndromic categories with natural language processing. Artif. Intell. Medicine 33(1): 31-40 (2005) - [j7]Wendy Webber Chapman, John N. Dowling, Michael M. Wagner:
Research Paper: Generating a Reliable Reference Standard Set for Syndromic Case Classification. J. Am. Medical Informatics Assoc. 12(6): 618-629 (2005) - [c20]Kaihong Liu, Kevin J. Mitchell, Wendy W. Chapman, Rebecca S. Crowley:
Automating Tissue Bank Annotation from Pathology Reports - Comparison to a Gold Standard Expert Annotation Set. AMIA 2005 - [c19]Manoj Ramachandran, Gregory F. Cooper, Wendy W. Chapman, John N. Dowling:
A Software Tool to Assist Researchers in Coding Free Text Clinical Reports. AMIA 2005 - 2004
- [j6]Wendy Webber Chapman, John N. Dowling, Michael M. Wagner:
Fever detection from free-text clinical records for biosurveillance. J. Biomed. Informatics 37(2): 120-127 (2004) - [c18]Wendy W. Chapman, Marcelo Fiszman, John N. Dowling, Brian E. Chapman, Thomas C. Rindflesch:
Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap. MedInfo 2004: 487-491 - [c17]Kevin J. Mitchell, Michael J. Becich, Jules J. Berman, Wendy W. Chapman, John R. Gilbertson, Dilip Gupta, James Harrison, Elizabeth Legowski, Rebecca S. Crowley:
Implementation and Evaluation of a Negation Tagger in a Pipeline-based System for Information Extraction from Pathology Reports. MedInfo 2004: 663-667 - [c16]Jeremy U. Espino, Michael M. Wagner, Fu-Chiang Tsui, Hoah-Der Su, Robert T. Olszewski, Zhen Liu, Wendy W. Chapman, Xiaoming Zeng, Lili Ma, Zhong Wei Lu, Jagan Dara:
The RODS Open Source Project: Removing a Barrier to Syndromic Surveillance. MedInfo 2004: 1192-1196 - [c15]Heather A. Johnson, Michael M. Wagner, William R. Hogan, Wendy W. Chapman, Robert T. Olszewski, John N. Dowling, Gary Barnas:
Analysis of Web Access Logs for Surveillance of Influenza. MedInfo 2004: 1202-1206 - 2003
- [j5]Wendy Webber Chapman, Gregory F. Cooper, Paul Hanbury, Brian E. Chapman, Lee H. Harrison, Michael M. Wagner:
Research Paper: Creating a Text Classifier to Detect Radiology Reports Describing Mediastinal Findings Associated with Inhalational Anthrax and Other Disorders. J. Am. Medical Informatics Assoc. 10(5): 494-503 (2003) - [j4]Per H. Gesteland, Reed M. Gardner, Fu-Chiang Tsui, Jeremy U. Espino, Robert T. Rolfs, Brent C. James, Wendy Webber Chapman, Andrew W. Moore, Michael M. Wagner:
Application of Information Technology: Automated Syndromic Surveillance for the 2002 Winter Olympics. J. Am. Medical Informatics Assoc. 10(6): 547-554 (2003) - 2002
- [c14]Catherine Arnott-Smith, P. Zoë Stavri, Wendy Webber Chapman:
In their own words? A terminological analysis of e-mail to a cancer information service. AMIA 2002 - [c13]Bruce G. Buchanan, Wendy W. Chapman, Gregory F. Cooper, Paul Hanbury, Mehmet Kayaalp, Manoj Ramachandran, Melissa I. Saul:
Creating a Software Tool for the Clinical Researcher - the IPS System. AMIA 2002 - [c12]Per H. Gesteland, Michael M. Wagner, Wendy W. Chapman, Jeremy U. Espino, Fu-Chiang Tsui, Reed M. Gardner, Robert T. Rolfs, Virginia M. Dato, Brent C. James, Peter J. Haug:
Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games. AMIA 2002 - [c11]Oleg Ivanov, Michael M. Wagner, Wendy W. Chapman, Robert T. Olszewski:
Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance. AMIA 2002 - [c10]Fu-Chiang Tsui, Jeremy U. Espino, Michael M. Wagner, Per H. Gesteland, Oleg Ivanov, Robert T. Olszewski, Zhen Liu, Xiaoming Zeng, Wendy W. Chapman, Weng-Keen Wong, Andrew W. Moore:
Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. AMIA 2002 - 2001
- [j3]Wendy Webber Chapman, Marcelo Fiszman, Brian E. Chapman, Peter J. Haug:
A Comparison of Classification Algorithms to Automatically Identify Chest X-Ray Reports That Support Pneumonia. J. Biomed. Informatics 34(1): 4-14 (2001) - [j2]Wendy Webber Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan:
A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries. J. Biomed. Informatics 34(5): 301-310 (2001) - [c9]Dominik Aronsky, Marcelo Fiszman, Wendy W. Chapman, Peter J. Haug:
Combining decision support methodologies to diagnose pneumonia. AMIA 2001 - [c8]Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan:
Evaluation of negation phrases in narrative clinical reports. AMIA 2001 - [c7]Gregory F. Cooper, Bruce G. Buchanan, Wendy W. Chapman, Paul Hanbury, Mehmet Kayaalp, Melissa I. Saul:
IPS: A System That Uses Machine Learning to Help Locate Patient Records for Clinical Research. AMIA 2001 - 2000
- [j1]Marcelo Fiszman, Wendy Webber Chapman, Dominik Aronsky, R. Scott Evans, Peter J. Haug:
Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports. J. Am. Medical Informatics Assoc. 7(6): 593-604 (2000) - [c6]Wendy W. Chapman, Dominik Aronsky, Marcelo Fiszman, Peter J. Haug:
Contribution of a speech recognition system to a computerized pneumonia guideline in the emergency department. AMIA 2000 - [c5]David D. Eardley, Dominik Aronsky, Wendy W. Chapman, Peter J. Haug:
Using Decision Tree Classifiers to Confirm Pneumonia Diagnosis. AMIA 2000
1990 – 1999
- 1999
- [c4]Wendy Webber Chapman, Marcelo Fiszman, Peter J. Haug:
Correct vs. Parsed Data for Inferring Pneumonia in Chest X-ray Reports. AMIA 1999 - [c3]Wendy W. Chapman, Peter J. Haug:
Comparing expert systems for identifying chest x-ray reports that support pneumonia. AMIA 1999 - [c2]Marcelo Fiszman, Wendy W. Chapman, R. Scott Evans, Peter J. Haug:
Automatic identification of pneumonia related concepts on chest x-ray reports. AMIA 1999 - 1998
- [c1]Wendy W. Chapman, Peter J. Haug:
Bayesian modeling for linking causally related observations in chest X-ray reports. AMIA 1998
Coauthor Index
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