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

Autor:	Meijden, S.L. van der, Boekel, A. van, Schinkelshoek, L., Goor, H. van, Boer, M den, Steyerberg, E., Geerts, B., Arbous, S.
Rok vydání:	2023
Předmět:	Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10] All institutes and research themes of the Radboud University Medical Center
Zdroj:	Studies in Health Technology and Informatics, 302, pp. 348-349 Studies in Health Technology and Informatics, 302, 348-349
ISSN:	0926-9630
Popis:	Contains fulltext : 292886.pdf (Publisher’s version ) (Open Access) 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=dedup_wf_001::a097798ae76bb505ab8685d53622dc87 https://hdl.handle.net/2066/292886 Zobrazit plný text záznamu