This paper is in the following e-collection/theme issue:

Diagnostic Tools in Mental Health (326) Bipolar Disorders (74) Attention Deficit Disorder (ADD/ADHD) (90) Machine Learning (2074) Mental Health Issues in Adolescence (635)

Published on in Vol 12 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78163, first published .
Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning–Based Prediction of Mood Severity

Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning–Based Prediction of Mood Severity

Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning–Based Prediction of Mood Severity

Authors of this article:

Rasim S Diler1 Author Orcid Image ;   Farzan Vahedifard1 Author Orcid Image ;   Boris Birmaher1 Author Orcid Image ;   Satish Iyengar1 Author Orcid Image ;   Maria Wolfe1 Author Orcid Image ;   Brianna N Lepore1 Author Orcid Image ;   Mariah Chobany1 Author Orcid Image ;   Halimah Abdul-Waalee1 Author Orcid Image ;   Greeshma Malgireddy1 Author Orcid Image ;   Jonathan A Hart1 Author Orcid Image ;   Michele A Bertocci1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Rasim S Diler   1 , MD ;   Farzan Vahedifard   1 , MD ;   Boris Birmaher   1 , MD ;   Satish Iyengar   1 , PhD ;   Maria Wolfe   1 , MSc ;   Brianna N Lepore   1 , MSc ;   Mariah Chobany   1 , MSc ;   Halimah Abdul-Waalee   1 , MS ;   Greeshma Malgireddy   1 , MS ;   Jonathan A Hart   1 , MS ;   Michele A Bertocci   1 , PhD

1 Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States

Corresponding Author:

  • Farzan Vahedifard, MD
  • Department of Psychiatry
  • University of Pittsburgh
  • 3811 O’Hara Street
  • Pittsburgh, PA 15213
  • United States
  • Phone: 1 3125136325
  • Email: farzanvahedi@yahoo.com