Machine learning to predict postoperative complications after digestive surgery: a scoping review.

Détails

Ressource 1Télécharger: ML scoping review_published article_BJS.pdf (168.77 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_802309921C87
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
UNIL/CHUV
Titre
Machine learning to predict postoperative complications after digestive surgery: a scoping review.
Périodique
The British journal of surgery
Auteur⸱e⸱s
Ravenel M., Joliat G.R., Demartines N., Uldry E., Melloul E., Labgaa I.
ISSN
1365-2168 (Electronic)
ISSN-L
0007-1323
Statut éditorial
Publié
Date de publication
09/11/2023
Peer-reviewed
Oui
Volume
110
Numéro
12
Pages
1646-1649
Langue
anglais
Notes
Publication types: Review ; Journal Article
Publication Status: ppublish
Mots-clé
Humans, Postoperative Complications/diagnosis, Postoperative Complications/etiology, Retrospective Studies, Digestive System Surgical Procedures/adverse effects, Machine Learning
URN
urn:nbn:ch:serval-BIB_802309921C875
OAI-PMH
oai:serval.unil.ch:BIB_802309921C87
DOI
10.1093/bjs/znad229
Pubmed
37478369
Web of science
001072640600001
Open Access
Oui
Création de la notice
31/07/2023 13:37
Dernière modification de la notice
09/02/2024 9:49
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