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Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study.

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Title: Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study.
Authors: Chen TH; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan.; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Lin KH; Department of Information Management, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan, +886 986-680623, 886 2-28757841.; Department of Information Management, National Taipei University of Nursing and Health Science, Taipei, Taiwan., Ho Y; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan.; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Tseng WC; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan.; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Chu YC; Department of Information Management, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan, +886 986-680623, 886 2-28757841.; Department of Information Management, National Taipei University of Nursing and Health Science, Taipei, Taiwan.; Big Data Center, Taipei Veterans General Hospital, Taipei, Taiwan., Tarng DC; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Source: JMIR medical informatics [JMIR Med Inform] 2026 Jun 05; Vol. 14, pp. e81152. Date of Electronic Publication: 2026 Jun 05.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study.
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  Data: <searchLink fieldCode="AU" term="%22Chen+TH%22">Chen TH</searchLink>; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan.; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+KH%22">Lin KH</searchLink>; Department of Information Management, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan, +886 986-680623, 886 2-28757841.; Department of Information Management, National Taipei University of Nursing and Health Science, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ho+Y%22">Ho Y</searchLink>; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan.; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Tseng+WC%22">Tseng WC</searchLink>; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan.; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chu+YC%22">Chu YC</searchLink>; Department of Information Management, Taipei Veterans General Hospital, No 201, Sec 2, Shipai Rd, Beitou District, Taipei, 11217, Taiwan, +886 986-680623, 886 2-28757841.; Department of Information Management, National Taipei University of Nursing and Health Science, Taipei, Taiwan.; Big Data Center, Taipei Veterans General Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Tarng+DC%22">Tarng DC</searchLink>; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22101645109%22">JMIR medical informatics</searchLink> [JMIR Med Inform] 2026 Jun 05; Vol. 14, pp. e81152. <i>Date of Electronic Publication: </i>2026 Jun 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>101645109 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2291-9694 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222919694%22">22919694 </searchLink><i>NLM ISO Abbreviation: </i>JMIR Med Inform <i>Subsets: </i>MEDLINE
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        Value: 10.2196/81152
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        Text: English
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      – TitleFull: Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study.
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            – D: 05
              M: 06
              Text: 2026 Jun 05
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