Deep Learning

Matching Electronic Health Records from different sources
The project uses fundamental statistical and deep learning techniques to solve the matching problem in EHR.
Code
Matching Electronic Health Records from different sources
Fairness evaluation methods in clinical prediction model
The project evaluates the clinical prediction models for fairness and provides a applicability based solution in the form of model cards.
Code
Fairness evaluation methods in clinical prediction model