An interpretable machine learning approach to evaluate 30-day mortality risk in patients with community-onset bacteremia.

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Title: An interpretable machine learning approach to evaluate 30-day mortality risk in patients with community-onset bacteremia.
Authors: Su CC; Clinical Innovation and Research Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Chen JL; Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Lee CC; Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Li CT; Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Lin WL; Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Cheng CL; Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address: clcheng@mail.ncku.edu.tw.
Source: Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi [J Microbiol Immunol Infect] 2026 Apr; Vol. 59 (2), pp. 230-236. Date of Electronic Publication: 2025 Aug 26.
Publication Type: Journal Article
Journal Info: Publisher: published by Elsevier for the Taiwan Society of Microbiology Country of Publication: England NLM ID: 100956211 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1995-9133 (Electronic) Linking ISSN: 16841182 NLM ISO Abbreviation: J Microbiol Immunol Infect Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1995-9133
DOI:10.1016/j.jmii.2025.08.017