Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy

Autor: Erik W. Ingwersen, Wessel T. Stam, Bono J.V. Meijs, Joran Roor, Marc G. Besselink, Bas Groot Koerkamp, Ignace H.J.T. de Hingh, Hjalmar C. van Santvoort, Martijn W.J. Stommel, Freek Daams

Publikováno v: Surgery (United States). Mosby Inc.
Surgery. Mosby Inc.
Dutch Pancreatic Cancer Group 2023, ' Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy ', Surgery (United States) . https://doi.org/10.1016/j.surg.2023.03.012

BACKGROUND: Machine learning is increasingly advocated to develop prediction models for postoperative complications. It is, however, unclear if machine learning is superior to logistic regression when using structured clinical data. Postoperative pan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a1bd705a46a462685342115ae2aa79
https://research.vumc.nl/en/publications/e11d6250-094e-47a4-82bb-ca3b153001e5