A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. - Parthasarathy Suryanarayanan; Bhavani Iyer; Prithwish Chakraborty; Bibo Hao; Italo Buleje; Piyush Madan; James V. Codella; Antonio Foncubierta; Divya Pathak; Sarah Miller; Amol Rajmane; Shannon Harrer; et al. (CoRR, 2020)

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. - Prithwish Chakraborty; James V. Codella; Piyush Madan; Ying Li 053; Hu Huang 004; Yoonyoung Park; Chao Yan 004; Ziqi Zhang 005; Cheng Gao; Steve Nyemba; Xu Min; Sanjib Basak; et al. (CoRR, 2021)

Addressing Social Determinants of Health: What is Needed for High Quality Data? - Yasemin Akdas; Laurie L. Novak; Joyce M. Harris; Christopher L. Simpson; Ricardo Trochez; Deonni Stolldorf; Amanda Mixon; Andrew Auerbach; Edmondo Robinson; Amol Rajmane; Irene Dankwa-Mullan; Sunil Kripalani (AMIA, 2022)

Sampling Adverse Drug Events in Outpatient Clinical Notes for Natural Language Processing Tasks. - Joseph M. Plasek; Abigail Salem; Stuart R. Lipsitz; Mary G. Amato; Dinah Foer; Heba Edrees; Suzanne V. Blackley; Brett R. South; Amol Rajmane; Mario Lorenzo; Paul Felt; Brendan Bull; et al. (AMIA, 2022)

Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. - Steve Nyemba; Chao Yan 004; Ziqi Zhang 005; Amol Rajmane; Pablo Meyer 001; Prithwish Chakraborty; Bradley A. Malin (CoRR, 2022)