AvatarJoshi/copd_project
(Ongoing Project) Uses CDC data to map the burden of Chronic Obstructive Pulmonary Disorder (COPD) and uses machine learning to determine health factors that may be related to likelihood of its development..
This project helps public health officials understand and address Chronic Obstructive Pulmonary Disease (COPD) in specific communities. By analyzing CDC health data, it identifies key factors linked to COPD prevalence and generates an interactive map showing where the disease burden is highest. The output provides insights for designing targeted interventions.
No commits in the last 6 months.
Use this if you are a public health official or policymaker needing to identify geographical areas and specific health factors to prioritize for COPD prevention programs.
Not ideal if you need a clinical diagnostic tool or personalized patient risk assessment for individuals.
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Last pushed
Apr 03, 2023
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