Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials.

Journal: Schizophrenia bulletin
Published Date: Mar 1, 2022

Abstract

BACKGROUND: Digital phenotyping has been proposed as a novel assessment tool for clinical trials targeting negative symptoms in psychotic disorders (PDs). However, it is unclear which digital phenotyping measurements are most appropriate for this purpose.

Authors

  • Sayli M Narkhede
    Department of Psychology, University of Georgia, Athens, GA, USA.
  • Lauren Luther
    Department of Psychology, University of Georgia, Athens, GA, USA.
  • Ian M Raugh
    Department of Psychology, University of Georgia, Athens, GA, USA.
  • Anna R Knippenberg
    Department of Psychology, University of Georgia, Athens, GA, USA.
  • Farnaz Zamani Esfahlani
    Department of Psychology, Indiana University, Bloomington, IN, USA.
  • Hiroki Sayama
    Department of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA.
  • Alex S Cohen
    Department of Psychology, Louisiana State University.
  • Brian Kirkpatrick
    Department of Psychiatry, University of Nevada, Reno School of Medicine, Reno, NV, USA.
  • Gregory P Strauss
    Department of Psychology, University of Georgia, Athens, GA, USA.

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