Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study
Machine learning-based models successfully screened potential medical aid beneficiaries. Qualitative analysis of important features well reflected prior knowledge regarding public health. These findings can contribute to the soundness of healthcare finance and the improvement of public health.
Authors
- Yong Jin Kwon (ORCID: https://orcid.org/0000-0002-9658-6709)
- Hyesu Lee
- Junmo Kim (ORCID: https://orcid.org/0000-0002-3908-0488)
- Jihye Kim (ORCID: https://orcid.org/0000-0001-7096-820X)
- Suhyun Kim (ORCID: https://orcid.org/0000-0003-2164-676X)
- Kwangsoo Kim (ORCID: https://orcid.org/0000-0002-4586-5062)
- Su Hyun Park (ORCID: https://orcid.org/0000-0002-5527-7520)
- Su Kyoung Lee (ORCID: https://orcid.org/0000-0002-9582-4402)
Institutions
- Seoul National University (KR)
- Seoul National University Hospital (KR)
- National Health Insurance Service (KR)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1016/j.ijmedinf.2024.105775
- Citations
- 3
- Primary Topic
- Healthcare Systems and Reforms
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Seoul National University
- Ministry of Health and Welfare