Machine-Learning Cost Prediction Models for Identifying High-Burden Patients in U. S. Insurance Markets

Sarah Paul (), Adebayo O. Sosanya () and Edward Akuffo Addo Dankwa ()

International Journal of Innovative Science and Research Technology (IJISRT), 2026, vol. 11, issue 10, 135-140

Abstract: Few U.S. patients account for most healthcare spending. This explains why they are easily identified by machine learning (ML). This review synthesizes empirical evidence on the performance of cost-prediction models, their application, and overall implications in the U.S.

Keywords: Machine Learning; Cost-Prediction Models; High-Burden Patients; U.S. Insurance Markets. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2026:10:ijisrt26oct219

DOI: 10.38124/ijisrt/26Oct219

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