Use of unstructured text in prognostic clinical prediction models: a systematic review.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jun 14, 2022

Abstract

OBJECTIVE: This systematic review aims to assess how information from unstructured text is used to develop and validate clinical prognostic prediction models. We summarize the prediction problems and methodological landscape and determine whether using text data in addition to more commonly used structured data improves the prediction performance.

Authors

  • Tom M Seinen
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Egill A Fridgeirsson
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Solomon Ioannou
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Daniel Jeannetot
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Luis H John
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Jan A Kors
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands j.kors@erasmusmc.nl.
  • Aniek F Markus
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands. Electronic address: a.markus@erasmusmc.nl.
  • Victor Pera
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Alexandros Rekkas
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Ross D Williams
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Cynthia Yang
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Erik M van Mulligen
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Peter R Rijnbeek
    Department of Medical Informatics, Erasmus University Medical Center, Rotterdam,The Netherlands.

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