View in EDS

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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42092440
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Machine Learning Framework for Meat Safety Risk Assessment with Cross-Domain Data Fusion.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wu+L%22">Wu L</searchLink>; Shanghai Institute of Quality Inspection and Technical Research Co., Ltd., Shanghai 201114, China. Electronic address: wuly@sqi.org.cn.<br /><searchLink fieldCode="AU" term="%22Ke+Y%22">Ke Y</searchLink>; Shanghai Institute of Quality Inspection and Technical Research Co., Ltd., Shanghai 201114, China.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; Shanghai Yuehai Info&Tech. Co., Ltd., Shanghai 200113, China.<br /><searchLink fieldCode="AU" term="%22Ding+C%22">Ding C</searchLink>; Shanghai Yuehai Info&Tech. Co., Ltd., Shanghai 200113, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Ge+Y%22">Ge Y</searchLink>; Shanghai Institute of Quality Inspection and Technical Research Co., Ltd., Shanghai 201114, China. Electronic address: geyu@sqi.org.cn.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227703944%22">Journal of food protection</searchLink> [J Food Prot] 2026 Jun; Vol. 89 (6), pp. 100802. <i>Date of Electronic Publication: </i>2026 May 04.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7703944 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1944-9097 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220362028X%22">0362028X </searchLink><i>NLM ISO Abbreviation: </i>J Food Prot <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42092440
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jfp.2026.100802
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 100802
    Titles:
      – TitleFull: A Machine Learning Framework for Meat Safety Risk Assessment with Cross-Domain Data Fusion.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wu L
      – PersonEntity:
          Name:
            NameFull: Ke Y
      – PersonEntity:
          Name:
            NameFull: Huang Y
      – PersonEntity:
          Name:
            NameFull: Wang X
      – PersonEntity:
          Name:
            NameFull: Ding C
      – PersonEntity:
          Name:
            NameFull: Wang X
      – PersonEntity:
          Name:
            NameFull: Ge Y
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1944-9097
          Numbering:
            – Type: volume
              Value: 89
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of food protection
              Type: main
ResultId 1