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A Machine Learning Framework for Meat Safety Risk Assessment with Cross-Domain Data Fusion.

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Bibliographic Details
Title:	A Machine Learning Framework for Meat Safety Risk Assessment with Cross-Domain Data Fusion.
Authors:	Wu L; Shanghai Institute of Quality Inspection and Technical Research Co., Ltd., Shanghai 201114, China. Electronic address: wuly@sqi.org.cn., Ke Y; Shanghai Institute of Quality Inspection and Technical Research Co., Ltd., Shanghai 201114, China., Huang Y; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China., Wang X; Shanghai Yuehai Info&Tech. Co., Ltd., Shanghai 200113, China., Ding C; Shanghai Yuehai Info&Tech. Co., Ltd., Shanghai 200113, China., Wang X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China., Ge Y; Shanghai Institute of Quality Inspection and Technical Research Co., Ltd., Shanghai 201114, China. Electronic address: geyu@sqi.org.cn.
Source:	Journal of food protection [J Food Prot] 2026 Jun; Vol. 89 (6), pp. 100802. Date of Electronic Publication: 2026 May 04.
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 7703944 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1944-9097 (Electronic) Linking ISSN: 0362028X NLM ISO Abbreviation: J Food Prot Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1944-9097
DOI:	10.1016/j.jfp.2026.100802