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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review
Development of Machine Learning Models to Predict Health Insurance Claim Costs Among Older Indonesians: A Retrospective Predictive Modeling Study
Mahwati Y.
Journal of Preventive Medicine and Public Health
Q2Published: 2026
Abstract
XGBoost provides reliable predictions of claim costs among older adults, capturing clinical, utilization, and structural drivers. These findings can inform targeted interventions, improve chronic disease management, optimize the referral system, and support integration of predictive tools into JKN to enhance responsiveness and promote sustainable, equitable financing.
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10.3961/jpmph.25.350Other files and links
- Link to publication in Scopus
- Open Access Version Available
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Machine learningSciences
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