Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database

no code implementations • 6 Jul 2022 • Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley Malin

We further show that the transfer learning approach based on the BAN produces models that are better than those trained on just a single institution's data.

Readmission Prediction Transfer Learning

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

no code implementations • 9 Apr 2021 • Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Yuen Reed, Kenney Ng, Daby Sow, Bradley A. Malin

Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains.

BIG-bench Machine Learning

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

no code implementations • 24 Jul 2020 • Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow

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

Fairness Management