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Admission clinical and functional assessments for predicting inpatient fall risk using machine learning models.

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Title: Admission clinical and functional assessments for predicting inpatient fall risk using machine learning models.
Authors: Lee YW; Department of Administration, Lutung Christian Hospital of Changhua Christian Medical Foundation, Changhua, Taiwan.; Graduate Institute of Clinical Nursing, College of Medicine, National Chung Hsing University Taichung, Taiwan., Hsu YL; Department of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taichung, Taiwan., Lai SM; Nursing Department, Changhua Christian Hospital, Changhua, Taiwan., Lin CH; Big Data & Digital Promotion Center, Changhua Christian Hospital, Changhua, Taiwan., Lin CM; Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan.; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua, Taiwan.; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan., Xu JL; Department of Applied Statistics, National Taichung University of Science and Technology, Taichung, Taiwan.
Source: Digital health [Digit Health] 2026 Jun 14; Vol. 12, pp. 20552076261461638. Date of Electronic Publication: 2026 Jun 14 (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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  Data: <searchLink fieldCode="AU" term="%22Lee+YW%22">Lee YW</searchLink>; Department of Administration, Lutung Christian Hospital of Changhua Christian Medical Foundation, Changhua, Taiwan.; Graduate Institute of Clinical Nursing, College of Medicine, National Chung Hsing University Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsu+YL%22">Hsu YL</searchLink>; Department of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lai+SM%22">Lai SM</searchLink>; Nursing Department, Changhua Christian Hospital, Changhua, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CH%22">Lin CH</searchLink>; Big Data & Digital Promotion Center, Changhua Christian Hospital, Changhua, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CM%22">Lin CM</searchLink>; Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan.; Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua, Taiwan.; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Xu+JL%22">Xu JL</searchLink>; Department of Applied Statistics, National Taichung University of Science and Technology, Taichung, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Jun 14; Vol. 12, pp. 20552076261461638. <i>Date of Electronic Publication: </i>2026 Jun 14 (<i>Print Publication: </i>2026).
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        Value: 10.1177/20552076261461638
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              Text: 2026 Jun 14
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