This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.

Built an activity-aware pulse rate estimation using PPG and Accelerometer sensors.

Gene Regulatory Network Inference

Reinforcement Learning for policy-making for epidemics (EpiPolicy https://youtu.be/JDYb4_coAf4)

Assisting a radiologist in classifying a given chest x-ray for the presence or absence of pneumonia using Deep Learning.

Approximated missing values in noisy, heterogeneous electronic health records by low rank modeling.

[ACIIDS 2024] A Deep Learning Approach to Diabetes Diagnosis