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Comprehensive validation of machine learning models predicting chemotherapy related electrolyte disorders in a multicenter study.

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Title: Comprehensive validation of machine learning models predicting chemotherapy related electrolyte disorders in a multicenter study.
Authors: Cho NJ; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea., Jeong I; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Ahn SJ; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Kim Y; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Park JH; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Kim JH; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea., Kim Y; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Kim B; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea., Oh SW; Division of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Korea., Lee H; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea. hwamin@korea.ac.kr., Gil HW; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea. hwgil@schmc.ac.kr.
Source: Communications medicine [Commun Med (Lond)] 2026 Apr 23; Vol. 6 (1). Date of Electronic Publication: 2026 Apr 23.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Comprehensive validation of machine learning models predicting chemotherapy related electrolyte disorders in a multicenter study.
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  Data: <searchLink fieldCode="AU" term="%22Cho+NJ%22">Cho NJ</searchLink>; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jeong+I%22">Jeong I</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ahn+SJ%22">Ahn SJ</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+Y%22">Kim Y</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+JH%22">Park JH</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JH%22">Kim JH</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+Y%22">Kim Y</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+B%22">Kim B</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Oh+SW%22">Oh SW</searchLink>; Division of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea. hwamin@korea.ac.kr.<br /><searchLink fieldCode="AU" term="%22Gil+HW%22">Gil HW</searchLink>; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea. hwgil@schmc.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%229918250414506676%22">Communications medicine</searchLink> [Commun Med (Lond)] 2026 Apr 23; Vol. 6 (1). <i>Date of Electronic Publication: </i>2026 Apr 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Portfolio%22">Nature Portfolio </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9918250414506676 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2730-664X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222730664X%22">2730664X </searchLink><i>NLM ISO Abbreviation: </i>Commun Med (Lond) <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2026 Apr 23
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