21
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

      Read this article at

      ScienceOpenPublisherPubMed
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.

          Related collections

          Author and article information

          Journal
          J Clin Epidemiol
          Journal of clinical epidemiology
          Elsevier BV
          1878-5921
          0895-4356
          Jun 2019
          : 110
          Affiliations
          [1 ] Department of Development & Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000 Belgium.
          [2 ] Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD UK.
          [3 ] Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
          [4 ] Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA The Netherlands.
          [5 ] Department of Development & Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000 Belgium; Department of Public Health & Primary Care, KU Leuven, Kapucijnenvoer 33J box 7001, Leuven, 3000 Belgium; Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Road, Oxford, OX2 6GG UK.
          [6 ] Department of Development & Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000 Belgium; Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA The Netherlands. Electronic address: ben.vancalster@kuleuven.be.
          Article
          S0895-4356(18)31081-3
          10.1016/j.jclinepi.2019.02.004
          30763612
          ada5351a-9ddd-4a2e-ab86-df7307df70f1

          Reporting,AUC,Calibration,Clinical prediction models,Logistic regression,Machine learning

          Comments

          Comment on this article