Predicting patient care pathway deviations and their consequences in anaesthesia using machine learning.

Florquin R, Dony P

DOI: 10.1007/s10877-026-01496-y
Published: 2026 Sep 8
Container: Journal of clinical monitoring and computing
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10877-026-01496-y,
  title = {Predicting patient care pathway deviations and their consequences in anaesthesia using machine learning.},
  author = {Florquin R and Dony P},
  year = {2026},
  journal = {Journal of clinical monitoring and computing},
  doi = {10.1007/s10877-026-01496-y},
  url = {https://doi.org/10.1007/s10877-026-01496-y}
}

RIS

TY  - JOUR
TI  - Predicting patient care pathway deviations and their consequences in anaesthesia using machine learning.
AU  - Florquin R
AU  - Dony P
PY  - 2026
JO  - Journal of clinical monitoring and computing
DO  - 10.1007/s10877-026-01496-y
UR  - https://doi.org/10.1007/s10877-026-01496-y
ER  -

APA

R, F., & P, D. (2026). Predicting patient care pathway deviations and their consequences in anaesthesia using machine learning.. Journal of clinical monitoring and computing. https://doi.org/10.1007/s10877-026-01496-y

Source records

pubmed · retrieved 2026-09-26T18:05:13.828Z