Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study.

Journal: Scandinavian journal of trauma, resuscitation and emergency medicine
PMID: 32586339

Abstract

INTRODUCTION: Studies examining the factors linked to survival after out of hospital cardiac arrest (OHCA) have either aimed to describe the characteristics and outcomes of OHCA in different parts of the world, or focused on certain factors and whether they were associated with survival. Unfortunately, this approach does not measure how strong each factor is in predicting survival after OHCA.

Authors

  • Nooraldeen Al-Dury
    University of Gothenburg, Institute of Medicine, Sahlgrenska Academy, Gröna Stråket 4, 43146, Gothenburg, Sweden. Nooraldeen.Al-dury.2@gu.se.
  • Annica Ravn-Fischer
    University of Gothenburg, Institute of Medicine, Sahlgrenska Academy, Gröna Stråket 4, 43146, Gothenburg, Sweden.
  • Jacob Hollenberg
    Department of Medicine, Center for Resuscitation Science, Karolinska Institutet, Solna, Stockholm, Sweden.
  • Johan Israelsson
    Division of Cardiology, Department of Internal Medicine, Kalmar County Hospital, Kalmar, Sweden.
  • Per Nordberg
    Department of Cardiology, Södersjukhuset, Stockholm, Sweden.
  • Anneli Strömsöe
    School of Health, Care and Social Welfare, Västerås, Sweden.
  • Christer Axelsson
    Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, Borås, Borås, Sweden.
  • Johan Herlitz
    University of Gothenburg, Institute of Medicine, Sahlgrenska Academy, Gröna Stråket 4, 43146, Gothenburg, Sweden.
  • Araz Rawshani
    University of Gothenburg, Institute of Medicine, Sahlgrenska Academy, Gröna Stråket 4, 43146, Gothenburg, Sweden.

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