| Deep learning electrocardiographic analysis for detection of left-sided valvular heart disease P Elias, TJ Poterucha, V Rajaram, LM Moller, V Rodriguez, S Bhave, ... Journal of the American College of Cardiology 80 (6), 613-626, 2022 | 46 | 2022 |
| Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients VA Rodriguez, S Bhave, R Chen, C Pang, G Hripcsak, S Sengupta, ... Journal of the American Medical Informatics Association 28 (7), 1480-1488, 2021 | 26 | 2021 |
| Zero-shot clinical acronym expansion via latent meaning cells G Adams, M Ketenci, S Bhave, A Perotte, N Elhadad Machine Learning for Health, 12-40, 2020 | 15 | 2020 |
| Assessing phenotype definitions for algorithmic fairness TY Sun, SA Bhave, J Altosaar, N Elhadad AMIA Annual Symposium Proceedings 2022, 1032, 2022 | 2 | 2022 |
| Information theoretic approaches for testing missingness in predictive models SA Bhave, R Ranganath, A Perotte ICML Workshop on the Art of Learning with Missing Values (Artemiss), 2020 | 2 | 2020 |
| Deep learning to detect left ventricular structural abnormalities in chest X-rays S Bhave, V Rodriguez, T Poterucha, S Mutasa, D Aberle, KM Capaccione, ... European Heart Journal, ehad782, 2024 | 1 | 2024 |
| Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling M Ketenci, S Bhave, N Elhadad, A Perotte Machine Learning for Healthcare Conference, 360-380, 2023 | | 2023 |
| Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data S Bhave, A Perotte Machine Learning for Healthcare Conference, 770-789, 2021 | | 2021 |
