Academic Journal
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Development and validation of deep vein thrombosis diagnostic model based on machine learning methods

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Development and validation of deep vein thrombosis diagnostic model based on machine learning methods
Συγγραφείς: Yan, BinAff1, Aff3, Aff4, Guo, HaijunAff5, Hu, TianxiAff1, Aff3, Aff4, Zhang, YuAff2, Zheng, ZhixinAff2, Du, WeipengAff1, Aff3, Aff4, IDs0027702506628z_cor1, Gu, YuhanAff2, IDs0027702506628z_cor2
Πηγή: Annals of Hematology. 104(10):5441-5451
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s00277-025-06628-z
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
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PubType: Academic Journal
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  Data: Development and validation of deep vein thrombosis diagnostic model based on machine learning methods
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  Data: <i>Annals of Hematology</i>. 104(10):5441-5451
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        Value: 10.1007/s00277-025-06628-z
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      – TitleFull: Development and validation of deep vein thrombosis diagnostic model based on machine learning methods
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            NameFull: Guo, Haijun
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            – D: 01
              M: 10
              Type: published
              Y: 2025
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              Value: 104
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