Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression.

Journal: BMC psychiatry
Published Date: May 16, 2022

Abstract

BACKGROUND: The debate of whether machine learning models offer advantages over standard statistical methods when making predictions is ongoing. We discuss the use of a meta-learner model combining both approaches as an alternative.

Authors

  • Qiang Liu
    Blood Transfusion Laboratory, Jiangxi Provincial Blood Center Nanchang 330052, Jiangxi, China.
  • Georgia Salanti
    Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Franco De Crescenzo
    Department of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK.
  • Edoardo Giuseppe Ostinelli
    Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK.
  • Zhenpeng Li
    Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK.
  • Anneka Tomlinson
    Department of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK.
  • Andrea Cipriani
    Department of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK.
  • Orestis Efthimiou
    Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK.

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