American Clusters: Using Machine Learning to Understand Health and Health Care Disparities in the United States

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Demonstrates the strengths and weaknesses of using machine learning (ML) to identify social determinants of health, healthcare access, healthcare infrastructure, and geography factors contributing to health inequalities. Discusses use of ML in policy, with different levels of geography, and in future research.

Diane M. Bowser, Kaili Maurico, Brielle A. Ruscitti, William H. Crown

Health Affairs Scholar, 2(3)

03/2024

Access · Health disparities · Infrastructure · Policy · Research methods and resources · Social determinants of health · Statistics and data