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Exploration of Different Machine Learning Methods and Domains of Predictors for Chronic Postsurgical Pain After Video-Assisted Thoracoscopic Surgery.

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Τίτλος: Exploration of Different Machine Learning Methods and Domains of Predictors for Chronic Postsurgical Pain After Video-Assisted Thoracoscopic Surgery.
Συγγραφείς: Sperling, Phillip K., Giordano, Rocco, Vollert, Jan, Arendt-Nielsen, Lars, Danielsen, Allan V., Rasmussen, Bodil S., Bisgaard, Jannie, Petersen, Kristian K.-S.
Πηγή: Clinical Journal of Pain; Mar2026, Vol. 42 Issue 3, p1-8, 8p
Βάση Δεδομένων: Complementary Index
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Header DbId: edb
DbLabel: Complementary Index
An: 191521574
RelevancyScore: 1061
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1060.7568359375
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  Data: Exploration of Different Machine Learning Methods and Domains of Predictors for Chronic Postsurgical Pain After Video-Assisted Thoracoscopic Surgery.
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  Data: Clinical Journal of Pain; Mar2026, Vol. 42 Issue 3, p1-8, 8p
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      – Type: doi
        Value: 10.1097/AJP.0000000000001347
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 1
    Titles:
      – TitleFull: Exploration of Different Machine Learning Methods and Domains of Predictors for Chronic Postsurgical Pain After Video-Assisted Thoracoscopic Surgery.
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            NameFull: Sperling, Phillip K.
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            NameFull: Giordano, Rocco
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            NameFull: Vollert, Jan
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            NameFull: Arendt-Nielsen, Lars
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            NameFull: Danielsen, Allan V.
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            NameFull: Rasmussen, Bodil S.
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            NameFull: Bisgaard, Jannie
      – PersonEntity:
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            NameFull: Petersen, Kristian K.-S.
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          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 07498047
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              Value: 42
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          Titles:
            – TitleFull: Clinical Journal of Pain
              Type: main
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