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Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations

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Title: Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations
Authors: Schwabe, Jennifer, Hua, Chelsea, Allen, Emma M., Jason, Leonard A., Furst, Jacob, Raciu, Daniela
Source: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) ICMLA Machine Learning and Applications (ICMLA), 2022 21st IEEE International Conference on. :555-559 Dec, 2022
Relation: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
Database: IEEE Xplore Digital Library
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ICMLA55696.2022.00091
    PhysicalDescription:
      Pagination:
        PageCount: 5
        StartPage: 555
    Titles:
      – TitleFull: Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Schwabe, Jennifer
      – PersonEntity:
          Name:
            NameFull: Hua, Chelsea
      – PersonEntity:
          Name:
            NameFull: Allen, Emma M.
      – PersonEntity:
          Name:
            NameFull: Jason, Leonard A.
      – PersonEntity:
          Name:
            NameFull: Furst, Jacob
      – PersonEntity:
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            NameFull: Raciu, Daniela
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      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9781665462839
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              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Machine Learning and Applications (ICMLA), 2022 21st IEEE International Conference on, ICMLA
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