View in EDS

Comments on "Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants".

Saved in:
Bibliographic Details
Title: Comments on "Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants".
Authors: ShangGuan Y; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea; Department of Cardiovascular Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China., Lin Z; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Wu K; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Sim YJ; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea. Electronic address: simyoungje@gmail.com., Xuan W; Department of Cardiovascular Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China. Electronic address: xuanweibo@126.com.
Source: Redox biology [Redox Biol] 2025 Oct; Vol. 86, pp. 103849. Date of Electronic Publication: 2025 Aug 30.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier, B.V Country of Publication: Netherlands NLM ID: 101605639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2213-2317 (Electronic) Linking ISSN: 22132317 NLM ISO Abbreviation: Redox Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40912072
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comments on "Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants".
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22ShangGuan+Y%22">ShangGuan Y</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea; Department of Cardiovascular Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.<br /><searchLink fieldCode="AU" term="%22Lin+Z%22">Lin Z</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Wu+K%22">Wu K</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sim+YJ%22">Sim YJ</searchLink>; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea. Electronic address: simyoungje@gmail.com.<br /><searchLink fieldCode="AU" term="%22Xuan+W%22">Xuan W</searchLink>; Department of Cardiovascular Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China. Electronic address: xuanweibo@126.com.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101605639%22">Redox biology</searchLink> [Redox Biol] 2025 Oct; Vol. 86, pp. 103849. <i>Date of Electronic Publication: </i>2025 Aug 30.
– 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%2C+B%2EV%22">Elsevier, B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101605639 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2213-2317 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222132317%22">22132317 </searchLink><i>NLM ISO Abbreviation: </i>Redox Biol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40912072
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.redox.2025.103849
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 103849
    Titles:
      – TitleFull: Comments on "Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants".
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: ShangGuan Y
      – PersonEntity:
          Name:
            NameFull: Lin Z
      – PersonEntity:
          Name:
            NameFull: Wu K
      – PersonEntity:
          Name:
            NameFull: Sim YJ
      – PersonEntity:
          Name:
            NameFull: Xuan W
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2025 Oct
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2213-2317
          Numbering:
            – Type: volume
              Value: 86
          Titles:
            – TitleFull: Redox biology
              Type: main
ResultId 1