Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness.

Journal: Computers in biology and medicine
PMID: 30807909

Abstract

BACKGROUND: The continuation of life-sustaining therapy in critical care patients with anoxic-ischemic disorders of consciousness (AI-DOC) depends on prognostic tests such as serum neuron-specific enolase (NSE) concentration levels.

Authors

  • Emily Muller
    Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa; African Institute Or Mathematical Sciences, Cape Town, South Africa. Electronic address: emily@aims.ac.za.
  • Jonathan P Shock
    Department of Mathematics and Applied Mathematics, University of Cape Town, Cape Town, South Africa.
  • Andreas Bender
    Centre for Molecular Informatics, Yusuf Hamied Department of Chemistry, University of Cambridge UK ab454@cam.ac.uk.
  • Julian Kleeberger
    Department of Neurology, University of Munich, Munich, Germany.
  • Tobias Högen
    Department of Neurology, University of Munich, Munich, Germany.
  • Martin Rosenfelder
    Department of Neurology, Therapiezentrum Burgau, Burgau, Germany; Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.
  • Bubacarr Bah
    Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa; African Institute Or Mathematical Sciences, Cape Town, South Africa.
  • Alex Lopez-Rolon
    Department of Neurology, Therapiezentrum Burgau, Burgau, Germany.

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