Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study.

Kim J, Park SH, Lee H, Lee SK, Kim J, Kim S, Kwon YJ, Kim K

Open source

DOI
10.1016/j.ijmedinf.2024.105775
Published
2025 Mar
Container
International journal of medical informatics
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.ijmedinf.2024.105775,
  title = {Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study.},
  author = {Kim J and Park SH and Lee H and Lee SK and Kim J and Kim S and Kwon YJ and Kim K},
  year = {2025},
  journal = {International journal of medical informatics},
  doi = {10.1016/j.ijmedinf.2024.105775},
  url = {https://doi.org/10.1016/j.ijmedinf.2024.105775}
}

RIS

TY  - JOUR
TI  - Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study.
AU  - Kim J
AU  - Park SH
AU  - Lee H
AU  - Lee SK
AU  - Kim J
AU  - Kim S
AU  - Kwon YJ
AU  - Kim K
PY  - 2025
JO  - International journal of medical informatics
DO  - 10.1016/j.ijmedinf.2024.105775
UR  - https://doi.org/10.1016/j.ijmedinf.2024.105775
ER  - 

APA

J, K., SH, P., H, L., SK, L., J, K., S, K., YJ, K., & K, K. (2025). Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2024.105775

Source records