[Machine Learning Model Based on Structured Injury Features for Knee Dysfunction after Traumatic Injury].
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| Title: | [Machine Learning Model Based on Structured Injury Features for Knee Dysfunction after Traumatic Injury]. |
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| Authors: | Dou RT; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China., Cheng S; The Smart Medicine and AI-based Radiology Technology (SMART) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China., Zhou X; The Smart Medicine and AI-based Radiology Technology (SMART) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China., Ye X; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China., Wang ZM; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China., Hong GH; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China., Zhang Q; The Smart Medicine and AI-based Radiology Technology (SMART) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China., Xia Q; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China., Shen YW; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China. |
| Source: | Fa yi xue za zhi [Fa Yi Xue Za Zhi] 2026 Feb 25; Vol. 42 (1), pp. 8-16. |
| Publication Type: | English Abstract; Journal Article |
| Journal Info: | Publisher: Si fa bu si fa jian ding ke xue yan jiu yuan Country of Publication: China NLM ID: 9426151 Publication Model: Print Cited Medium: Internet ISSN: 1004-5619 (Print) Linking ISSN: 10045619 NLM ISO Abbreviation: Fa Yi Xue Za Zhi Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42050947 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: [Machine Learning Model Based on Structured Injury Features for Knee Dysfunction after Traumatic Injury]. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dou+RT%22">Dou RT</searchLink>; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Cheng+S%22">Cheng S</searchLink>; The Smart Medicine and AI-based Radiology Technology (SMART) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; The Smart Medicine and AI-based Radiology Technology (SMART) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.<br /><searchLink fieldCode="AU" term="%22Ye+X%22">Ye X</searchLink>; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Wang+ZM%22">Wang ZM</searchLink>; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Hong+GH%22">Hong GH</searchLink>; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Q%22">Zhang Q</searchLink>; The Smart Medicine and AI-based Radiology Technology (SMART) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China.<br /><searchLink fieldCode="AU" term="%22Xia+Q%22">Xia Q</searchLink>; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.<br /><searchLink fieldCode="AU" term="%22Shen+YW%22">Shen YW</searchLink>; Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229426151%22">Fa yi xue za zhi</searchLink> [Fa Yi Xue Za Zhi] 2026 Feb 25; Vol. 42 (1), pp. 8-16. – Name: TypePub Label: Publication Type Group: TypPub Data: English Abstract; Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Si+fa+bu+si+fa+jian+ding+ke+xue+yan+jiu+yuan%22">Si fa bu si fa jian ding ke xue yan jiu yuan </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>9426151 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1004-5619 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210045619%22">10045619 </searchLink><i>NLM ISO Abbreviation: </i>Fa Yi Xue Za Zhi <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42050947 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12116/j.issn.1004-5619.2024.241108 Languages: – Code: chi Text: Chinese PhysicalDescription: Pagination: StartPage: 8 Titles: – TitleFull: [Machine Learning Model Based on Structured Injury Features for Knee Dysfunction after Traumatic Injury]. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dou RT – PersonEntity: Name: NameFull: Cheng S – PersonEntity: Name: NameFull: Zhou X – PersonEntity: Name: NameFull: Ye X – PersonEntity: Name: NameFull: Wang ZM – PersonEntity: Name: NameFull: Hong GH – PersonEntity: Name: NameFull: Zhang Q – PersonEntity: Name: NameFull: Xia Q – PersonEntity: Name: NameFull: Shen YW IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 02 Text: 2026 Feb 25 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1004-5619 Numbering: – Type: volume Value: 42 – Type: issue Value: 1 Titles: – TitleFull: Fa yi xue za zhi Type: main |
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