A machine learning framework for predicting healthcare utilization and risk factors

Medicaid data, with its vast scale and heterogeneity, presents significant challenges in predictive modeling and healthcare analytics. This study analyzes over 6.3 million records from the Louisiana Department of Health (LDH) to identify the most effective machine learning models for predicting clin...

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Bibliographic Details
Main Authors: Yead Rahman, Prerna Dua
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Healthcare Analytics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442525000309
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