Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health.
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| Title: | Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health. |
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| Authors: | Kim S; Department of Convergence Medical Science, School of Medicine, Pusan National University, Yangsan, Republic of Korea., Choi BK; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.; Department of Neurosurgery, Pusan National University School of Medicine, Yangsan, Republic of Korea.; Department of Neurosurgery, Pusan National University Hospital, Busan, Republic of Korea., Cho JS; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.; Department of Thoracic and Cardiovascular Surgery, Pusan National University School of Medicine, Yangsan, Republic of Korea.; Department of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea., Huh U; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.; Department of Thoracic and Cardiovascular Surgery, Pusan National University School of Medicine, Yangsan, Republic of Korea.; Department of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea., Shin MJ; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.; Department of Rehabilitation Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea.; Department of Rehabilitation Medicine, Pusan National University Hospital, Busan, Republic of Korea., Obradovic Z; Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, United States.; Department of Computer and Information Sciences, Temple University, Philadelphia, PA, United States., Rubin DJ; Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States., Lee JI; Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.; Department of Neurosurgery, Pusan National University School of Medicine, Yangsan, Republic of Korea.; Department of Neurosurgery, Pusan National University Hospital, Busan, Republic of Korea., Park JH; Department of Convergence Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea.; Convergence Medical Institute of Technology, Pusan National University Hospital, Busan, Republic of Korea. |
| Source: | Frontiers in public health [Front Public Health] 2025 Nov 06; Vol. 13, pp. 1698062. Date of Electronic Publication: 2025 Nov 06 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2025.1698062 |
