| Deep patient: an unsupervised representation to predict the future of patients from the electronic health records R Miotto, L Li, BA Kidd, JT Dudley Scientific reports 6 (1), 1-10, 2016 | 895 | 2016 |
| Deep learning for healthcare: review, opportunities and challenges R Miotto, F Wang, S Wang, X Jiang, JT Dudley Briefings in bioinformatics 19 (6), 1236-1246, 2018 | 851 | 2018 |
| Artificial intelligence in cardiology KW Johnson, J Torres Soto, BS Glicksberg, K Shameer, R Miotto, M Ali, ... Journal of the American College of Cardiology 71 (23), 2668-2679, 2018 | 269 | 2018 |
| Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams K Shameer, MA Badgeley, R Miotto, BS Glicksberg, JW Morgan, ... Briefings in bioinformatics 18 (1), 105-124, 2017 | 124 | 2017 |
| A functional genomics predictive network model identifies regulators of inflammatory bowel disease LA Peters, J Perrigoue, A Mortha, A Iuga, W Song, EM Neiman, ... Nature genetics 49 (10), 1437, 2017 | 101 | 2017 |
| AKI in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ... Journal of the American Society of Nephrology 32 (1), 151-160, 2021 | 93 | 2021 |
| Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort K Shameer, KW Johnson, A Yahi, R Miotto, LI Li, D Ricks, J Jebakaran, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017, 276-287, 2017 | 84 | 2017 |
| Coronavirus 2019 and people living with human immunodeficiency virus: outcomes for hospitalized patients in New York City K Sigel, T Swartz, E Golden, I Paranjpe, S Somani, F Richter, ... Clinical Infectious Diseases 71 (11), 2933-2938, 2020 | 69* | 2020 |
| Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials R Miotto, C Weng Journal of the American Medical Informatics Association 22 (e1), e141-e150, 2015 | 66 | 2015 |
| Natural language processing of clinical notes on chronic diseases: systematic review S Sheikhalishahi, R Miotto, JT Dudley, A Lavelli, F Rinaldi, V Osmani JMIR medical informatics 7 (2), e12239, 2019 | 56 | 2019 |
| Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... BMJ open 10 (11), e040736, 2020 | 55* | 2020 |
| A generative context model for semantic music annotation and retrieval R Miotto, G Lanckriet IEEE Transactions on Audio, Speech, and Language Processing 20 (4), 1096-1108, 2011 | 54 | 2011 |
| Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning K Shameer, BS Glicksberg, R Hodos, KW Johnson, MA Badgeley, ... Briefings in bioinformatics 19 (4), 656-678, 2018 | 53 | 2018 |
| Automated disease cohort selection using word embeddings from Electronic Health Records. BS Glicksberg, R Miotto, KW Johnson, K Shameer, L Li, R Chen, ... PSB, 145-156, 2018 | 46 | 2018 |
| A Music Identification System Based on Chroma Indexing and Statistical Modeling. R Miotto, N Orio ISMIR, 301-306, 2008 | 45 | 2008 |
| A human–computer collaborative approach to identifying common data elements in clinical trial eligibility criteria Z Luo, R Miotto, C Weng Journal of biomedical informatics 46 (1), 33-39, 2013 | 38 | 2013 |
| Deep learning to predict patient future diseases from the electronic health records R Miotto, L Li, JT Dudley European Conference on Information Retrieval, 768-774, 2016 | 37 | 2016 |
| Improving Auto-tagging by Modeling Semantic Co-occurrences. R Miotto, L Barrington, GRG Lanckriet ISMIR, 297-302, 2010 | 33 | 2010 |
| Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... Journal of medical Internet research 22 (11), e24018, 2020 | 28* | 2020 |
| Unsupervised mining of frequent tags for clinical eligibility text indexing R Miotto, C Weng Journal of biomedical informatics 46 (6), 1145-1151, 2013 | 28 | 2013 |
Joel DudleyInstitute Director and Associate Professor, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
