Deep Survival Analysis: The Impact of Feature Missingness. - Shreyas Bhave; Xintian Han; Rajesh Ranganath; Adler J. Perotte (AMIA, 2020)

The CLinically Explainable Actionable Risk (CLEAR) Model. - Ruijun Chen; Amelia J. Averitt; Oliver J. Bear Don't Walk IV; Shreyas Bhave; Lisa Grossman Liu; Elliot G. Mitchell; Victor Alfonso Rodriguez; Phyllis Thangaraj; Tony Y. Sun (AMIA, 2020)

Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. - Griffin Adams; Mert Ketenci; Shreyas Bhave; Adler J. Perotte; Noémie Elhadad (ML4H@NeurIPS, 2020)

LVHNet: Detecting Cardiac Structural Abnormalities with Chest X-Rays. - Shreyas Bhave; Pierre A. Elias; Victor Alfonso Rodriguez; Timothy Poterucha; Simi Mutasa; Jay Leb; Nir Uriel; Adler J. Perotte (AMIA, 2021)

Multi-Channel LSTM for Modeling Irregularly Sampled Time Series. - Shreyas Bhave; Adler J. Perotte (AMIA, 2021)

Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data. - Shreyas Bhave; Adler J. Perotte (MLHC, 2021)

Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. - Victor Alfonso Rodriguez; Shreyas Bhave; Ruijun Chen; Chao Pang; George Hripcsak; Soumitra Sengupta; Noemie Elhadad; Robert A. Green; Jason S. Adelman; Katherine Schlosser Metitiri; Pierre A. Elias; Holden Groves; et al. (J. Am. Medical Informatics Assoc., 2021)

Assessing Phenotype Definitions for Algorithmic Fairness. - Tony Y. Sun; Shreyas Bhave; Jaan Altosaar; Noemie Elhadad (AMIA, 2022)

Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. - Mert Ketenci; Shreyas Bhave; Noemie Elhadad; Adler J. Perotte (MLHC, 2023)