| Medical question answering for clinical decision support TR Goodwin, SM Harabagiu Proceedings of the 25th ACM international on conference on information and …, 2016 | 87 | 2016 |
| Automatic generation of a qualified medical knowledge graph and its usage for retrieving patient cohorts from electronic medical records T Goodwin, SM Harabagiu Seventh International Conference onSemantic Computing (ICSC), IEEE 2013, 363-370, 2013 | 55 | 2013 |
| Bridging the gap between consumers’ medication questions and trusted answers AB Abacha, Y Mrabet, M Sharp, TR Goodwin, SE Shooshan, ... MEDINFO 2019: Health and Wellbeing e-Networks for All, 25-29, 2019 | 50 | 2019 |
| Flight of the PEGASUS? Comparing transformers on few-shot and zero-shot multi-document abstractive summarization TR Goodwin, ME Savery, D Demner-Fushman Proceedings of COLING. international conference on computational linguistics …, 2020 | 47 | 2020 |
| Knowledge representations and inference techniques for medical question answering TR Goodwin, SM Harabagiu ACM transactions on intelligent systems and technology (TIST) 9 (2), 1-26, 2017 | 39 | 2017 |
| UTD at TREC 2014: Query expansion for clinical decision support T Goodwin, SM Harabagiu Text REtrieval Conference 2014, 2014 | 30 | 2014 |
| Towards zero-shot conditional summarization with adaptive multi-task fine-tuning TR Goodwin, ME Savery, D Demner-Fushman Proceedings of the Conference on Empirical Methods in Natural Language …, 2020 | 28 | 2020 |
| Multi-modal patient cohort identification from EEG report and signal data TR Goodwin, SM Harabagiu AMIA Annual Symposium Proceedings 2016, 1794, 2016 | 27 | 2016 |
| UTD HLTRI at TREC 2017: Precision Medicine Track. TR Goodwin, MA Skinner, SM Harabagiu TREC, 2017 | 25 | 2017 |
| UTDHLT: COPACETIC system for choosing plausible alternatives T Goodwin, B Rink, K Roberts, S Harabagiu * SEM 2012: The First Joint Conference on Lexical and Computational …, 2012 | 25 | 2012 |
| Automatic recognition of symptom severity from psychiatric evaluation records TR Goodwin, R Maldonado, SM Harabagiu Journal of Biomedical Informatics 75, S71-S84, 2017 | 24 | 2017 |
| A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision TR Goodwin, D Demner-Fushman Journal of the American Medical Informatics Association 27 (4), 567-576, 2020 | 23 | 2020 |
| Overview of the TAC 2018 Drug-Drug Interaction Extraction from Drug Labels Track. D Demner-Fushman, KW Fung, P Do, RD Boyce, TR Goodwin TAC, 2018 | 21 | 2018 |
| Deep learning meets biomedical ontologies: knowledge embeddings for epilepsy R Maldonado, TR Goodwin, MA Skinner, SM Harabagiu AMIA Annual Symposium Proceedings 2017, 1233, 2017 | 18 | 2017 |
| Cohort shepherd: Discovering cohort traits from hospital visits T Goodwin, B Rink, K Roberts, SM Harabagiu Proceedings of The 20th Text REtrieval Conference, 2011 | 17 | 2011 |
| Deep learning from EEG reports for inferring underspecified information TR Goodwin, SM Harabagiu AMIA Summits on Translational Science Proceedings 2017, 112, 2017 | 15 | 2017 |
| Learning relevance models for patient cohort retrieval TR Goodwin, SM Harabagiu JAMIA open 1 (2), 265-275, 2018 | 13 | 2018 |
| Active deep learning-based annotation of electroencephalography reports for cohort identification R Maldonado, TR Goodwin, SM Harabagiu AMIA Summits on Translational Science Proceedings 2017, 229, 2017 | 13 | 2017 |
| Automatically linking registered clinical trials to their published results with deep highway networks TR Goodwin, MA Skinner, SM Harabagiu AMIA Summits on Translational Science Proceedings 2018, 54, 2018 | 10 | 2018 |
| The impact of belief values on the identification of patient cohorts T Goodwin, SM Harabagiu International Conference of the Cross-Language Evaluation Forum for European …, 2013 | 10 | 2013 |
Dina Demner-FushmanNational Library of MedicinePreverjeni e-poštni naslov na mail.nih.gov
