Metraipolis › archive › dc_eaec48c274dc

Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A… — Europe PMC PMID:42040917

Source
Europe PMC (en)
Original
https://europepmc.org/article/MED/42040917
DOI
10.1002/hsr2.72391
License (as archived)
solo-consultazione
Archived
2026-10-08T03:14:30.535Z
SHA-256 of the archived text
3ebba60019bf370b3e0faf3e17dcc4ffd6b0cf6ed6afd2975ba02eef4dd9bc6f
Stable URL of this page
https://metraipolis.com/documento/dc_eaec48c274dc

How to cite

Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A… — Europe PMC PMID:42040917 — Europe PMC (en), https://europepmc.org/article/MED/42040917 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_eaec48c274dc (Metraipolis archive dc_eaec48c274dc, sha256 3ebba60019bf370b3e0faf3e17dcc4ffd6b0cf6ed6afd2975ba02eef4dd9bc6f)
BibTeX
@misc{dceaec48c274dc,
  title = {Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A… — Europe PMC PMID:42040917},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42040917},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_eaec48c274dc; sha256 3ebba60019bf370b3e0faf3e17dcc4ffd6b0cf6ed6afd2975ba02eef4dd9bc6f},
  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/42040917. Agents can read the archived copy with the MCP tool read_document.