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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
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  Data: An interpretable machine learning approach to evaluate 30-day mortality risk in patients with community-onset bacteremia.
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  Data: <searchLink fieldCode="AU" term="%22Su+CC%22">Su CC</searchLink>; Clinical Innovation and Research Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+JL%22">Chen JL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lee+CC%22">Lee CC</searchLink>; Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Li+CT%22">Li CT</searchLink>; Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+WL%22">Lin WL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cheng+CL%22">Cheng CL</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22100956211%22">Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi</searchLink> [J Microbiol Immunol Infect] 2026 Apr; Vol. 59 (2), pp. 230-236. <i>Date of Electronic Publication: </i>2025 Aug 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22published+by+Elsevier+for+the+Taiwan+Society+of+Microbiology%22">published by Elsevier for the Taiwan Society of Microbiology </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100956211 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1995-9133 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216841182%22">16841182 </searchLink><i>NLM ISO Abbreviation: </i>J Microbiol Immunol Infect <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jmii.2025.08.017
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        Text: English
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        StartPage: 230
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      – TitleFull: An interpretable machine learning approach to evaluate 30-day mortality risk in patients with community-onset bacteremia.
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              Text: 2026 Apr
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              Value: 59
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