An implementation of the HCC Risk Adjustment Algorithm in Python
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Updated
Mar 13, 2020 - SAS
An implementation of the HCC Risk Adjustment Algorithm in Python
asleep: a sleep classifier for wearable sensor data using machine learning
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.
Functions designed to streamline NHS/Healthcare Analyst's workflows
Calculating BMI at Age from FHIR Documents Blog Post
A collection of sample/tutorial codes for Chinese 30-year ambient ozone exposure assessment, exposure-response relationship establishment, and excess mortality estimation.
Repository for code to prepare the indicators for BSOL ICS Population Health Outcomes Framework
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
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