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pro vyhledávání: '"Laurens J. Schinkelshoek"'
Autor:
Siri L. van der Meijden, Anna M. van Boekel, Laurens J. Schinkelshoek, Harry van Goor, Ewout W. Steyerberg, Rob G.H.H. Nelissen, Dieter Mesotten, Bart F. Geerts, Mark G.J. de Boer, M. Sesmu Arbous, Pieter de Heer, Jaap Hamming, Karin Ellen Veldkamp, Wilco Peul, Rolv-Ole Lindsetmo, Maxime Kummeling, Jogchum Beltman, Merlijn Hutteman, Alma Tostman, Wim Reijnen, Bas Bredie, Ilse Spenkelink, Ben Goethuys, Noëlla Pierlet, Joost Huiskens
Publikováno v:
The Lancet Regional Health. Europe, Vol 49, Iss , Pp 101163- (2025)
Summary: Background: Postoperative infections significantly impact patient outcomes and costs, exacerbated by late diagnoses, yet early reliable predictors are scarce. Existing artificial intelligence (AI) models for postoperative infection predictio
Externí odkaz:
https://doaj.org/article/a5abd8ada85545a0a3a57f0d571367a8
