Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission R Caruana, Y Lou, J Gehrke, P Koch, M Sturm, N Elhadad Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 1995 | 2015 |
An unsupervised aspect-sentiment model for online reviews S Brody, N Elhadad Human language technologies: The 2010 annual conference of the North …, 2010 | 768 | 2010 |
Beyond the stars: Improving rating predictions using review text content. G Ganu, N Elhadad, A Marian WebDB 9, 1-6, 2009 | 616 | 2009 |
A review of approaches to identifying patient phenotype cohorts using electronic health records C Shivade, P Raghavan, E Fosler-Lussier, PJ Embi, N Elhadad, ... Journal of the American Medical Informatics Association 21 (2), 221-230, 2014 | 557 | 2014 |
Inferring strategies for sentence ordering in multidocument news summarization R Barzilay, N Elhadad Journal of Artificial Intelligence Research 17, 35-55, 2002 | 472 | 2002 |
A comparison of features for automatic readability assessment L Feng, M Jansche, M Huenerfauth, N Elhadad Coling 2010: Posters, 276-284, 2010 | 330 | 2010 |
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts S Zhang, N Elhadad Journal of biomedical informatics 46 (6), 1088-1098, 2013 | 322 | 2013 |
Overview of the ShARe/CLEF eHealth evaluation lab 2013 H Suominen, S Salanterä, S Velupillai, WW Chapman, G Savova, ... Information Access Evaluation. Multilinguality, Multimodality, and …, 2013 | 310 | 2013 |
Diagnosis code assignment: models and evaluation metrics A Perotte, R Pivovarov, K Natarajan, N Weiskopf, F Wood, N Elhadad Journal of the American Medical Informatics Association 21 (2), 231-237, 2014 | 272 | 2014 |
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment T Baumel, J Nassour-Kassis, M Elhadad, N Elhadad 2018 AAAI Joint Workshop on Health Intelligence (W3PHIAI 2018), 2018 | 262 | 2018 |
Sentence alignment for monolingual comparable corpora N Elhadad, R Barzilay | 255 | 2003 |
Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants A Pratap, EC Neto, P Snyder, C Stepnowsky, N Elhadad, D Grant, ... NPJ digital medicine 3 (1), 21, 2020 | 242 | 2020 |
Automated methods for the summarization of electronic health records R Pivovarov, N Elhadad Journal of the American Medical Informatics Association 22 (5), 938-947, 2015 | 237 | 2015 |
Deep survival analysis R Ranganath, A Perotte, N Elhadad, D Blei Machine Learning for Healthcare Conference, 101-114, 2016 | 231 | 2016 |
Putting it simply: a context-aware approach to lexical simplification O Biran, S Brody, N Elhadad Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 227 | 2011 |
Semeval-2014 task 7: Analysis of clinical text S Pradhan, N Elhadad, W Chapman, S Manandhar, G Savova Proceedings of the 8th international workshop on semantic evaluation …, 2014 | 200 | 2014 |
Cognitively motivated features for readability assessment L Feng, N Elhadad, M Huenerfauth Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009 | 197 | 2009 |
Hierarchically supervised latent Dirichlet allocation A Perotte, F Wood, N Elhadad, N Bartlett Advances in neural information processing systems 24, 2011 | 179 | 2011 |
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative S Pradhan, N Elhadad, BR South, D Martinez, L Christensen, A Vogel, ... Journal of the American Medical Informatics Association 22 (1), 143-154, 2015 | 165 | 2015 |
Learning probabilistic phenotypes from heterogeneous EHR data R Pivovarov, AJ Perotte, E Grave, J Angiolillo, CH Wiggins, N Elhadad Journal of biomedical informatics 58, 156-165, 2015 | 158 | 2015 |