[Machine Learning Model Based on Structured Injury Features for Knee Dysfunction after Traumatic Injury].

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Bibliographic Details
Title: [Machine Learning Model Based on Structured Injury Features for Knee Dysfunction after Traumatic Injury].
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
Description
ISSN:1004-5619
DOI:10.12116/j.issn.1004-5619.2024.241108