Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning.

Journal: JAMA psychiatry
PMID: 39969874

Abstract

IMPORTANCE: The diagnosis of schizophrenia and bipolar disorder is often delayed several years despite illness typically emerging in late adolescence or early adulthood, which impedes initiation of targeted treatment.

Authors

  • Lasse Hansen
    Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. hansen@imi.uni-luebeck.de.
  • Martin Bernstorff
    Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.
  • Kenneth Enevoldsen
    Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark.
  • Sara Kolding
    Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Jakob Grøhn Damgaard
    Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark.
  • Erik Perfalk
    Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark.
  • Kristoffer Laigaard Nielbo
    Department of Culture and Society, Center for Humanities Computing, Aarhus University, Aarhus, Denmark.
  • Andreas Aalkjær Danielsen
    Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.
  • Søren Dinesen Østergaard

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