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Triangulating evidence for cardiometabolic Index: ROC cutoff, spline nonlinearity, and explainable machine learning for CVD high risk — Europe PMC PMID:42244797

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42244797
DOI: 10.3389/fcvm.2026.1803704
License (as archived): solo-consultazione
Archived: 2026-11-01T13:17:42.074Z
SHA-256 of the archived text: 3753f2f23cfa74a111652277403525f207ae58a307ab16f32a331af4258b4b90
Stable URL of this page: https://metraipolis.com/documento/dc_479f784fa020

How to cite

Triangulating evidence for cardiometabolic Index: ROC cutoff, spline nonlinearity, and explainable machine learning for CVD high risk — Europe PMC PMID:42244797 — Europe PMC (en), https://europepmc.org/article/MED/42244797 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_479f784fa020 (Metraipolis archive dc_479f784fa020, sha256 3753f2f23cfa74a111652277403525f207ae58a307ab16f32a331af4258b4b90)

BibTeX

@misc{dc479f784fa020,
  title = {Triangulating evidence for cardiometabolic Index: ROC cutoff, spline nonlinearity, and explainable machine learning for CVD high risk — Europe PMC PMID:42244797},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42244797},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_479f784fa020; sha256 3753f2f23cfa74a111652277403525f207ae58a307ab16f32a331af4258b4b90},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42244797. Agents can read the archived copy with the MCP tool read_document.