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

Phenotypical Ontology Driven Framework for Multi-Task Learning

no code implementations • 4 Sep 2020 • Mohamed Ghalwash, Zijun Yao, Prithwish Chakraborty, James Codella, Daby Sow

Despite the large number of patients in Electronic Health Records (EHRs), the subset of usable data for modeling outcomes of specific phenotypes are often imbalanced and of modest size.

Multi-Task 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

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction

no code implementations • 13 May 2020 • Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow

Increased availability of electronic health records (EHR) has enabled researchers to study various medical questions.

Data Augmentation