| Information Access Evaluation. Multilinguality, Multimodality, and Visualization H Suominen, S Salanterä, S Velupillai, WW Chapman, G Savova, ... Springer, 2013 | 276* | 2013 |
| Overview of the ShARe/CLEF ehealth Evaluation Lab 2014 L Kelly, L Goeuriot, H Suominen, T Schreck, G Leroy, DL Mowery, ... Information Access Evaluation. Multilinguality, Multimodality, and …, 2014 | 130 | 2014 |
| Extending the NegEx Lexicon for Multiple Languages. WW Chapman, D Hillert, S Velupillai, M Kvist, M Skeppstedt, ... Studies in health technology and informatics 192, 677-681, 2012 | 108 | 2012 |
| Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis S Velupillai, D Mowery, BR South, M Kvist, H Dalianis Yearbook of medical informatics 10 (1), 183-193, 2015 | 67 | 2015 |
| International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium GA Brat, GM Weber, N Gehlenborg, P Avillach, NP Palmer, L Chiovato, ... Nature Digital Medicine 3 (109), 2020 | 61 | 2020 |
| Task 2: ShARe/CLEF eHealth evaluation lab 2014 D Mowery, S Velupillai, B South, L Christensen, D Martinez, L Kelly, ... CLEF 2014 Online Working Notes 1180, 31-42, 2014 | 53 | 2014 |
| Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study D Mowery, H Smith, T Cheney, G Stoddard, G Coppersmith, C Bryan, ... J Med Internet Res 19 (2), e48, 2017 | 52 | 2017 |
| Towards automatically classifying depressive symptoms from Twitter data for population health DL Mowery, YA Park, C Bryan, M Conway Proceedings of the Workshop on Computational Modeling of People’s Opinions …, 2016 | 46 | 2016 |
| Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text BR South, D Mowery, Y Suo, J Leng, Ó Ferrández, SM Meystre, ... Journal of biomedical informatics 50, 162-172, 2014 | 46 | 2014 |
| Building an automated SOAP classifier for emergency department reports D Mowery, J Wiebe, S Visweswaran, H Harkema, WW Chapman Journal of biomedical informatics 45 (1), 71-81, 2012 | 45 | 2012 |
| Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis DL Mowery, BE Chapman, M Conway, BR South, E Madden, S Keyhani, ... Journal of Biomedical Semantics 7 (26), 1-12, 2016 | 30 | 2016 |
| BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge S Velupillai, DL Mowery, S Abdelrahman, L Christensen, WW Chapman Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 30 | 2015 |
| Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health D Mowery, C Bryan, M Conway WSDM 2017 Workshop on Mining Online Health Reports, 5, 2017 | 25 | 2017 |
| Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2 DL Mowery, BR South, L Christensen, J Leng, LM Peltonen, S Salanterä, ... Journal of Biomedical Semantics 7 (43), 1-13, 2016 | 25 | 2016 |
| Cue-based assertion classification for Swedish clinical text—Developing a lexicon for pyConTextSwe S Velupillai, M Skeppstedt, M Kvist, D Mowery, BE Chapman, H Dalianis, ... Artificial intelligence in medicine 61 (3), 137-144, 2014 | 25 | 2014 |
| Understanding patient satisfaction with received healthcare services: A natural language processing approach K Doing-Harris, DL Mowery, C Daniels, WW Chapman, M Conway AMIA Annual Symposium Proceedings 2016, 524, 2016 | 22 | 2016 |
| Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data DL Mowery, C Bryan, M Conway Proceedings of the 2nd Workshop on Computational Linguistics and Clinical …, 2015 | 20 | 2015 |
| Semantic Annotation of Clinical Events for Generating a Problem List DL Mowery, P Jordan, J Wiebe, H Harkema, J Dowling, WW Chapman AMIA Annual Symposium Proceedings 2013, 1032, 2013 | 18 | 2013 |
| Distinguishing historical from current problems in clinical reports: which textual features help? DL Mowery, H Harkema, JN Dowling, JL Lustgarten, WW Chapman Proceedings of the Workshop on Current Trends in Biomedical Natural Language …, 2009 | 18 | 2009 |
| Ideas for how informaticians can get involved with COVID-19 research JH Moore, I Barnett, MR Boland, Y Chen, G Demiris, ... BioData Mining 13, 1-16, 2020 | 17 | 2020 |
Wendy ChapmanUniversity of MelbourneVerified email at unimelb.edu.au
