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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41283058 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Convergence Medical Science, School of Medicine, Pusan National University, Yangsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+BK%22">Choi BK</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cho+JS%22">Cho JS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Huh+U%22">Huh U</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shin+MJ%22">Shin MJ</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Obradovic+Z%22">Obradovic Z</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Rubin+DJ%22">Rubin DJ</searchLink>; Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States.<br /><searchLink fieldCode="AU" term="%22Lee+JI%22">Lee JI</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Park+JH%22">Park JH</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101616579%22">Frontiers in public health</searchLink> [Front Public Health] 2025 Nov 06; Vol. 13, pp. 1698062. <i>Date of Electronic Publication: </i>2025 Nov 06 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Editorial+Office%22">Frontiers Editorial Office </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101616579 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2296-2565 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222962565%22">22962565 </searchLink><i>NLM ISO Abbreviation: </i>Front Public Health <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41283058 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fpubh.2025.1698062 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1698062 Titles: – TitleFull: Development of machine learning models with explainable AI for frailty risk prediction and their web-based application in community public health. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim S – PersonEntity: Name: NameFull: Choi BK – PersonEntity: Name: NameFull: Cho JS – PersonEntity: Name: NameFull: Huh U – PersonEntity: Name: NameFull: Shin MJ – PersonEntity: Name: NameFull: Obradovic Z – PersonEntity: Name: NameFull: Rubin DJ – PersonEntity: Name: NameFull: Lee JI – PersonEntity: Name: NameFull: Park JH IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 11 Text: 2025 Nov 06 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2296-2565 Numbering: – Type: volume Value: 13 Titles: – TitleFull: Frontiers in public health Type: main |
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