activity
20182021
most citedBlending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

1 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20211 cited

Disease Progression Modeling Workbench 360

Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan +9

In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DP…

cs.LG20211 cited

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

Prithwish Chakraborty, James Codella, Piyush Madan +22

Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains. However, these architectures have been limited in their ability…

cs.LG2020

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty +11

Many institutions within the healthcare ecosystem are making significant investments in AI technologies to optimize their business operations at lower cost with improved patient ou…

cs.LG2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei +6

Autonomous cyber-physical agents and systems play an increasingly large role in our lives. To ensure that agents behave in ways aligned with the values of the societies in which th…

cs.LG2018

Effect of secular trend in drug effectiveness study in real world data

Sharon Hensley Alford, Piyush Madan, Shilpa Mahatma +3

We discovered secular trend bias in a drug effectiveness study for a recently approved drug. We compared treatment outcomes between patients who received the newly approved drug an…