APS

APS Virtual Poster Showcase · 2020

Deep Learning Applications of Symptom Severity Prediction: Implications for Psychopathology

Virtual · June 2020

Poster Sessions · Methodology

  • Brian Droncheff
    Palo Alto University
  • Layven Reguero
    Palo Alto University
  • Stacie Warren
    Palo Alto University

Abstract

Self-report questionnaires are critical tools to assess psychopathology and monitor symptoms. The present study used machine learning approaches to predict worry severity. Results demonstrated that neural networks predicted worry severity with high accuracy, precision, and sensitivity.

Psychopathology