Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia.
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| Title: | Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia. |
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| Authors: | Chung H; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea., Jo Y; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea., Ryu D; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea., Jeong C; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.; Medical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea., Choe SK; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.; Department of Microbiology, and Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeonbuk, Republic of Korea., Lee J; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea. |
| Source: | Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2021 Dec; Vol. 12 (6), pp. 2220-2230. Date of Electronic Publication: 2021 Oct 26. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders Country of Publication: Germany NLM ID: 101552883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2190-6009 (Electronic) Linking ISSN: 21905991 NLM ISO Abbreviation: J Cachexia Sarcopenia Muscle Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34704369 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chung+H%22">Chung H</searchLink>; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jo+Y%22">Jo Y</searchLink>; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+D%22">Ryu D</searchLink>; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jeong+C%22">Jeong C</searchLink>; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.; Medical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choe+SK%22">Choe SK</searchLink>; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.; Department of Microbiology, and Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeonbuk, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+J%22">Lee J</searchLink>; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101552883%22">Journal of cachexia, sarcopenia and muscle</searchLink> [J Cachexia Sarcopenia Muscle] 2021 Dec; Vol. 12 (6), pp. 2220-2230. <i>Date of Electronic Publication: </i>2021 Oct 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+%26+Sons+Ltd+on+behalf+of+Society+on+Sarcopenia%2C+Cachexia+and+Wasting+Disorders%22">John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101552883 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2190-6009 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221905991%22">21905991 </searchLink><i>NLM ISO Abbreviation: </i>J Cachexia Sarcopenia Muscle <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34704369 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/jcsm.12840 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2220 Titles: – TitleFull: Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chung H – PersonEntity: Name: NameFull: Jo Y – PersonEntity: Name: NameFull: Ryu D – PersonEntity: Name: NameFull: Jeong C – PersonEntity: Name: NameFull: Choe SK – PersonEntity: Name: NameFull: Lee J IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2021 Dec Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 2190-6009 Numbering: – Type: volume Value: 12 – Type: issue Value: 6 Titles: – TitleFull: Journal of cachexia, sarcopenia and muscle Type: main |
| ResultId | 1 |
