Automatic classification of RDoC positive valence severity with a neural network.

Journal: Journal of biomedical informatics
Published Date: Jul 8, 2017

Abstract

OBJECTIVE: Our objective was to develop a machine learning-based system to determine the severity of Positive Valance symptoms for a patient, based on information included in their initial psychiatric evaluation. Severity was rated on an ordinal scale of 0-3 as follows: 0 (absent=no symptoms), 1 (mild=modest significance), 2 (moderate=requires treatment), 3 (severe=causes substantial impairment) by experts.

Authors

  • Cheryl Clark
    The MITRE Corporation, Bedford, MA, USA. Electronic address: cclark@mitre.org.
  • Ben Wellner
    The MITRE Corporation, Bedford, MA, USA.
  • Rachel Davis
    The MITRE Corporation, Bedford, MA, USA.
  • John Aberdeen
    The MITRE Corporation, Bedford, MA, USA.
  • Lynette Hirschman
    The MITRE Corporation, Bedford, MA, USA lynette@mitre.org.

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