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Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.

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Title: Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.
Authors: Chiu LW; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan., Ku YE; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan., Chan FY; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan., Lie WN; Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan., Chao HJ; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan., Wang SY; Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, Taipei, Taiwan., Shen WC; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan., Chen HY; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: shawn@tmu.edu.tw.
Source: International journal of antimicrobial agents [Int J Antimicrob Agents] 2024 Jul; Vol. 64 (1), pp. 107175. Date of Electronic Publication: 2024 Apr 19.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Publishers Country of Publication: Netherlands NLM ID: 9111860 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7913 (Electronic) Linking ISSN: 09248579 NLM ISO Abbreviation: Int J Antimicrob Agents Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.
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  Data: <searchLink fieldCode="AU" term="%22Chiu+LW%22">Chiu LW</searchLink>; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ku+YE%22">Ku YE</searchLink>; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chan+FY%22">Chan FY</searchLink>; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lie+WN%22">Lie WN</searchLink>; Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chao+HJ%22">Chao HJ</searchLink>; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wang+SY%22">Wang SY</searchLink>; Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Shen+WC%22">Shen WC</searchLink>; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+HY%22">Chen HY</searchLink>; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: shawn@tmu.edu.tw.
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        Value: 10.1016/j.ijantimicag.2024.107175
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        Text: English
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      – TitleFull: Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.
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              Text: 2024 Jul
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              Y: 2024
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