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XGBoost-based risk prediction model for massive vehicle recalls using consumer complaints.

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Title: XGBoost-based risk prediction model for massive vehicle recalls using consumer complaints.
Authors: Li YN; School of Public Affairs, University of Science and Technology of China, Hefei, People's Republic of China.; School of Management, University of Science and Technology of China, Hefei, People's Republic of China., Jiang M; School of Management, University of Science and Technology of China, Hefei, People's Republic of China., Wang L; School of Management, University of Science and Technology of China, Hefei, People's Republic of China., Wei J; School of Public Affairs, University of Science and Technology of China, Hefei, People's Republic of China.
Source: Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2025 Dec; Vol. 45 (12), pp. 4408-4422. Date of Electronic Publication: 2025 May 29.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Publishers Country of Publication: United States NLM ID: 8109978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-6924 (Electronic) Linking ISSN: 02724332 NLM ISO Abbreviation: Risk Anal Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Li+YN%22">Li YN</searchLink>; School of Public Affairs, University of Science and Technology of China, Hefei, People's Republic of China.; School of Management, University of Science and Technology of China, Hefei, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Jiang+M%22">Jiang M</searchLink>; School of Management, University of Science and Technology of China, Hefei, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+L%22">Wang L</searchLink>; School of Management, University of Science and Technology of China, Hefei, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wei+J%22">Wei J</searchLink>; School of Public Affairs, University of Science and Technology of China, Hefei, People's Republic of China.
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        Value: 10.1111/risa.70052
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      – TitleFull: XGBoost-based risk prediction model for massive vehicle recalls using consumer complaints.
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              M: 12
              Text: 2025 Dec
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              Y: 2025
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