Personalized Prediction of Chronic Kidney Disease Progression in Patients with Chronic Kidney Disease Stages 3-5: A Multicenter Study Using the Machine Learning Approach.

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Bibliographic Details
Title: Personalized Prediction of Chronic Kidney Disease Progression in Patients with Chronic Kidney Disease Stages 3-5: A Multicenter Study Using the Machine Learning Approach.
Authors: Toan Duong T; International PhD program of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.; Cho Ray Hospital, Ministry of Health, Ho Chi Minh City, Vietnam., Nguyen MT; Institute of Data Science, College of Management, Taipei Medical University, New Taipei City, Taiwan., Liao CT; Division of Nephrology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.; Division of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.; TMU Research Center of Urology and Kidney, Taipei Medical University, Taipei, Taiwan., Le NH; Graduate of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan., Phan TP; International PhD program of Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan., Huang CW; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.; International Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan., Hsu JC; International PhD program of Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan., Nguyen APA; Graduate Institute of Data Science, College of management, Taipei Medical University, Taipei, Taiwan.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 1165-1169.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI251022