Litcius/Paper detail

Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study

Chao Zhu, Zidu Xu, Yaowen Gu, Shuguo Zheng, X. Sun, Jianing Cao, Bao Song, Jian Jin, Yan Liu, Xiaozhong Wen, Wei‐June Chen, Jiao Li, X. Wu

2022Journal of Hospital Infection43 citationsDOI

Topics & Concepts

MedicineCohortReceiver operating characteristicCohort studyStroke (engine)Observational studyMachine learningInternal medicineComputer scienceMechanical engineeringEngineeringUrinary Tract Infections ManagementPediatric Urology and Nephrology StudiesPelvic floor disorders treatments
Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study | Litcius