| Use of machine learning models to predict death after acute myocardial infarction R Khera, J Haimovich, NC Hurley, R McNamara, JA Spertus, N Desai, ... JAMA cardiology 6 (6), 633-641, 2021 | 139 | 2021 |
| Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: a retrospective cohort study C Huang, K Murugiah, S Mahajan, SX Li, SS Dhruva, JS Haimovich, ... PLoS medicine 15 (11), e1002703, 2018 | 112 | 2018 |
| Accelerometer-derived physical activity and risk of atrial fibrillation S Khurshid, LC Weng, MA Al-Alusi, JL Halford, JS Haimovich, ... European heart journal 42 (25), 2472-2483, 2021 | 47 | 2021 |
| Cohort design and natural language processing to reduce bias in electronic health records research S Khurshid, C Reeder, LX Harrington, P Singh, G Sarma, SF Friedman, ... Npj Digital Medicine 5 (1), 47, 2022 | 42 | 2022 |
| Discovery of temporal and disease association patterns in condition-specific hospital utilization rates JS Haimovich, AK Venkatesh, A Shojaee, A Coppi, F Warner, SX Li, ... PloS one 12 (3), e0172049, 2017 | 13 | 2017 |
| Artificial intelligence–enabled classification of hypertrophic heart diseases using electrocardiograms JS Haimovich, N Diamant, S Khurshid, P Di Achille, C Reeder, ... Cardiovascular Digital Health Journal 4 (2), 48-59, 2023 | 7 | 2023 |
| Cohort design and natural language processing to reduce bias in electronic health records research: The Community Care Cohort Project S Khurshid, C Reeder, LX Harrington, P Singh, G Sarma, SF Friedman, ... medRxiv, 2021.05. 26.21257872, 2021 | 7 | 2021 |
| One clinician is all you need–cardiac magnetic resonance imaging measurement extraction: Deep learning algorithm development P Singh, J Haimovich, C Reeder, S Khurshid, ES Lau, JW Cunningham, ... JMIR Medical Informatics 10 (9), e38178, 2022 | 6 | 2022 |
| Deep Learning–Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes ES Lau, P Di Achille, K Kopparapu, CT Andrews, P Singh, C Reeder, ... Journal of the American College of Cardiology 82 (20), 1936-1948, 2023 | 5 | 2023 |
| Machine-learning to improve prediction of mortality following acute myocardial infarction: an assessment in the NCDR-Chest Pain-Myocardial infarction registry R Khera, J Haimovich, N Hurley, R McNamara, JA Spertus, N Desai, ... bioRxiv, 540369, 2019 | 3 | 2019 |
| Expansion of insurance under the Affordable Care Act and invasive management of acute myocardial infarction JS Haimovich, J Cui, RW Yeh, TG Ferris, J Hsu, JH Wasfy Cardiovascular Revascularization Medicine 39, 90-96, 2022 | 1 | 2022 |
| Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort JS Haimovich, P Di Achille, V Nauffal, P Singh, C Reeder, X Wang, ... JACC: Advances 3 (7_Part_1), 101004, 2024 | | 2024 |
| ADJUDICATION OF HEART FAILURE HOSPITALIZATION USING NATURAL LANGUAGE PROCESSING IN THE ELECTRONIC HEALTH RECORD J Cunningham, P Singh, ESW Lau, S Khurshid, J Haimovich, A Turner, ... Journal of the American College of Cardiology 81 (8_Supplement), 4022-4022, 2023 | | 2023 |
| One clinician is all you need: Data-Efficient NLP Measurement Extraction from Cardiac MRI Reports. P Singh, J Haimovich, C Reeder, S Khurshid, ES Lau, JW Cunningham, ... JMIR Medical Informatics, 2022 | | 2022 |
| Frequency and Outcomes of Bradyarrhythmias in the Community J Haimovich, S Khurshid, P Di Achille, V Nauffal, P Singh, C Reeder, ... Circulation 144 (Suppl_1), A10587-A10587, 2021 | | 2021 |
