Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data

Autor:	Siri Lise van der Meijden, Anna van Boekel, Laurens Schinkelshoek, Harry van Goor, Mark de Boer, Ewout Steyerberg, Bart Geerts, Sesmu Arbous
Rok vydání:	2023
Zdroj:	Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
DOI:	10.3233/shti230134
Popis:	Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC 0.81) for postoperative infections.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2f089f07c0d641d0b43949a364372243 https://doi.org/10.3233/shti230134 Zobrazit plný text záznamu