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Improving Public Health Strategies with Machine Learning Models
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2025
Jahr
Abstract
The use of machine learning (ML) in public health is revolutionizing the way healthcare systems respond to challenges and improve patient outcomes. ML models, through data-driven insights, help in predictive analysis, resource allocation, and the early detection of health threats. This article explores the role of machine learning in enhancing public health strategies by discussing various ML models used in epidemiology, predictive healthcare, and disease prevention. It also addresses challenges and future opportunities for integrating ML into healthcare systems.
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