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

Br J Surg. 2023 Nov 9;110(12):1646-1649. doi: 10.1093/bjs/znad229.

Authors

Maximilien Ravenel^{1

2}, Gaëtan-Romain Joliat^{1

2

3}, Nicolas Demartines^{1

2}, Emilie Uldry^{1

2}, Emmanuel Melloul^{1

2}, Ismail Labgaa^{1

2}

Affiliations

¹ Department of Visceral Surgery, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.
² Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland.
³ Graduate School of Health Sciences, University of Bern, Bern, Switzerland.

No abstract available

Publication types

Review

MeSH terms

Digestive System Surgical Procedures* / adverse effects
Humans
Machine Learning
Postoperative Complications* / diagnosis
Postoperative Complications* / etiology
Retrospective Studies