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Clinical explainable machine learning models for early identification of patients at risk of hospital-acquired urinary tract infection

Autor: Jakobsen, Rune Sejer, Nielsen, Thomas Dyhre, Leutscher, Peter, Koch, Kristoffer

Publikováno v: Jakobsen, R S, Nielsen, T D, Leutscher, P & Koch, K 2023, ' Clinical explainable machine learning models for early identification of patients at risk of hospital-acquired urinary tract infection ', Journal of Hospital Infection . https://doi.org/10.1016/j.jhin.2023.03.017

Background: Machine learning (ML) models for early identification of patients at risk of hospital-acquired urinary tract infections (HA-UTI) may enable timely and targeted preventive and therapeutic strategies. However, clinicians are often challenge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a4cad1fa4d756ba7f88fe4e1bbbce34
https://doi.org/10.1016/j.jhin.2023.03.017