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County-Level CVD Disparities Analysis by Lucas Dias is a document available to read on EtoBox.

What is County-Level CVD Disparities Analysis about?

This study utilized unsupervised machine learning to identify four distinct county-level phenogroups in the U.S. based on social and demographic factors influencing cardiovascular disease (CVD) mortality. The findings revealed significant disparities in CVD outcomes, with phenogroup 4, predominantly comprising Black residents, exhibiting the highest mortality rates. The research highlights the potential for targeted preventive initiatives to address regional differences in CVD mortality.

Author
Lucas Dias
Language
EN

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