County-level phenomapping to identify disparities in cardiovascular outcomes: An unsupervised clustering analysis

County-level phenomapping to identify disparities in cardiovascular outcomes: An unsupervised clustering analysis

Introduction: Significant heterogeneity in cardiovascular disease (CVD) risk and healthcare resource allocation has been demonstrated in the United States, but optimal methods to capture heterogeneity in county-level characteristics that contribute to CVD mortality differences are unclear. We evalua...

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Bibliographic Details
Main Authors: Matthew W. Segar, Shreya Rao, Ann Marie Navar, Erin D. Michos, Alana Lewis, Adolfo Correa, Mario Sims, Amit Khera, Amy E. Hughes, Ambarish Pandey
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:American Journal of Preventive Cardiology
Subjects:
Cardiovascular disease
Epidemiology
Risk factors
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666667720301185

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http://www.sciencedirect.com/science/article/pii/S2666667720301185

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