Explainable machine learning framework with Granger-based temporal predictive validation for monitoring fiscal risk in national health insurance expenditure

Gwangsu Lee

Open source

DOI: 10.1371/journal.pone.0361904
Published: 2026-10-29
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0361904,
  title = {Explainable machine learning framework with Granger-based temporal predictive validation for monitoring fiscal risk in national health insurance expenditure},
  author = {Gwangsu Lee},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0361904},
  url = {https://doi.org/10.1371/journal.pone.0361904}
}

RIS

TY  - JOUR
TI  - Explainable machine learning framework with Granger-based temporal predictive validation for monitoring fiscal risk in national health insurance expenditure
AU  - Gwangsu Lee
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0361904
UR  - https://doi.org/10.1371/journal.pone.0361904
ER  -

APA

Lee, G. (2026). Explainable machine learning framework with Granger-based temporal predictive validation for monitoring fiscal risk in national health insurance expenditure. PLOS One. https://doi.org/10.1371/journal.pone.0361904

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crossref · retrieved 2026-11-10T10:41:57.734Z