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Prediction of post-stroke urinary tract infection risk in... | ResearchHub
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Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study
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Authors
Chao Zhu
13 more
Chao Zhu
•
Zidu Xu
11 more
•
X. Wu
Published
January 16, 2022
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Journal
Journal of Hospital Infection
Topics
Computer Science
Machine Learning
Engineering
Medicine
Cancer Oncology
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DOI
10.1016/j.jhin.2022.01.002