Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study
Jian Liu,
Jia Chen,
Yongquan Dong
et al.
Abstract:Background
Serious bacterial infections (SBIs) are linked to unplanned hospital admissions and a high mortality rate. The early identification of SBIs is crucial in clinical practice.
Objective
This study aims to establish and validate clinically applicable models designed to identify SBIs in patients with infective fever.
Methods
Clinical data from 945 patients with infective fever, encompassing demographic… Show more
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