Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study.

Journal: JMIR research protocols
PMID: 40132191

Abstract

BACKGROUND: While cognitive behavioral therapy has shown efficacy in treating stress-related disorders, such as adjustment disorder and exhaustion disorder, knowledge about factors contributing to treatment response is limited. Improved identification of such factors could enhance assessment procedures and treatment strategies. In addition, evaluating how traditional prediction methods and machine learning can complement each other may help bridge gaps in understanding and predicting treatment response.

Authors

  • Ludwig Franke Föyen
    Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Victoria Sennerstam
    Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Evelina Kontio
    Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Oskar Flygare
    Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska University Hospital, Karolinska Institutet, M46, SE-141 86, Huddinge, Sweden. oskar.flygare@ki.se.
  • Magnus Boman
    Karolinska Institutet, Department of Medicine Solna, Division of Clinical Epidemiology, Stockholm, Sweden.
  • Elin Lindsäter
    Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

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