An implementation of the HCC Risk Adjustment Algorithm in Python
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Mar 13, 2020 - SAS
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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
A collection of sample/tutorial codes for Chinese 30-year ambient ozone exposure assessment, exposure-response relationship establishment, and excess mortality estimation.
Calculating BMI at Age from FHIR Documents Blog Post
Repository for code to prepare the indicators for BSOL ICS Population Health Outcomes Framework
This analysis leverages publicly available NHANES data from the CDC to investigate insulin resistance and diabetes at the population level to determine whether public health could be improved with a more proactive approach to testing. 💉
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
A F.A.I.R. research project using national datasets and machine learning techniques to understand population health in support of the AIM-AHEAD ScHARe program. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the NIH.
Code to duplicate CHRR measures for the 2025 release
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