This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).

This mighty little deck of cards will change your health habits.

openPRO: Your health. Your voice.

Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.

Patient facing app for generating health data on iOS devices and reporting back to the practitioner/health system

CASSANDRA Retro is a comprehensive retrospective dataset covering the complete perioperative course of visceral surgical patients. It comprises four components – preoperative, intraoperative, postoperative, and laboratory – spanning 13,225 patients across clinical settings, with a total of 51,967,074 data points.

COVID-19 Critical Event Prediction Tools

Pearson's Chi-Square Test of Independence for NYHA and KCCQ

Production-grade ML system predicting ICU 30-day readmission risk (MIMIC-IV, 48K patients). Complete pipeline: data cleaning → feature engineering (181 features) → LightGBM (0.79 AUC) → deployed Streamlit app. Healthcare AI portfolio project.

Predicting primary biliary cirrhosis patient outcomes with different machine learning algorithms.

Kaplan-Meier for Congestive Heart Failure Analysis

Identifying clinical drivers for hospital readmissions in diabetic patients to improve patient outcomes using Python and Tableau.

Discovering healthcare insights through data-driven analysis of EHRs. This project comprises three subprojects: data cleaning & preparation, exploratory data analysis and lastly, predictive modeling for in-hospital mortality and clinical risk stratification.

Exploratory data analysis of hospital patient outcomes using Python (Pandas, Matplotlib) to identify trends in length of stay, diagnosis, and readmission risk.

SQL + Tableau analysis of 101,766 patient records from 130 U.S. hospitals identifying key drivers of 30-day readmission rates across age, medication count, and ICD-9 primary diagnosis.