AutoML-driven ensemble learning for intradialytic hypotension prediction.

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Bibliographic Details
Title: AutoML-driven ensemble learning for intradialytic hypotension prediction.
Authors: Cheng CY; Department of Information Management, National Chung Cheng University, Chia-Yi, Taiwan.; Intelligent Healthcare Center, Kaohsiung Veterans General Hospital, Tainan, Taiwan., Lin YC; Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan., Tung AN; Department of Biomedical Engineering, University of Southern California,Los Angeles, CA, USA.; International Academia of Biomedical Innovation Technology, Reno, Nevada, USA., Hu HW; International Academia of Biomedical Innovation Technology, Reno, Nevada, USA.; Technical Division, Taiwan Artificial Intelligence Association, Taipei, Taiwan., Chang IC; Department of Information Management, National Chung Cheng University, Chia-Yi, Taiwan.
Source: Digital health [Digit Health] 2026 Jul 11; Vol. 12, pp. 20552076261438936. Date of Electronic Publication: 2026 Jul 11 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2055-2076
DOI:10.1177/20552076261438936