An implementation of the HCC Risk Adjustment Algorithm in Python

Power Pop Health is a collection of content intended to simplify the process of ingesting and prepping Healthcare Open Data using Azure data tools and Power BI. Moving forward the overarching theme will be data related to Population Health, but other sources pertinent to Healthcare will also be included.

asleep: a sleep classifier for wearable sensor data using machine learning

Functions designed to streamline NHS/Healthcare Analyst's workflows

Calculating BMI at Age from FHIR Documents Blog Post

Repository for code to prepare the indicators for BSOL ICS Population Health Outcomes Framework

A collection of sample/tutorial codes for Chinese 30-year ambient ozone exposure assessment, exposure-response relationship establishment, and excess mortality estimation.

The main R program code for the dissertation "A Study of Some Statistical Issues about the Effects of Ambient Air Pollution on Population Health"

MS Business Analytics/Data Science Thesis Project in Population Health to Geostatistically Target Asthmatics for Outreach

Discovering the association between children's weight outcomes and the food environment around their homes