# Development of Machine Learning Models to Predict Health Insurance Claim Costs Among Older Indonesians: A Retrospective Predictive Modeling Study
> Mahwati Y.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_105035297802
Jurnal / Konferensi: Journal of Preventive Medicine and Public Health
Tahun terbit: 2026
DOI: https://doi.org/10.3961/jpmph.25.350
ISSN: 19758375
Kuartil SJR: Q2
Citations: 0

## Authors
- Mahwati Y.

## 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.

## Keywords
- Machine learning
- Referral
- Health insurance
- Artificial intelligence
- Actuarial science
- Predictive modelling
- Medicine
- Computer science
- Data science
- MEDLINE
- Disease
- Risk analysis (engineering)
- Retrospective cohort study
- Chronic disease
- Health care
- Predictive analytics
- Health economics
- Gerontology
- Data mining
- Big data

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.