Comparison of the performance of machine learning algorithms for the task-switching functional magnetic resonance imaging data for distinguishing attention deficit hyperactivity disorder from bipolar disorder

According to the evaluation criteria values, the best model for diagnosing ADHD from BD has been suggested. This approach can be useful in diagnosis, psychological, and psychiatric interventions.

Authors

Amir Hossein Hashemian (ORCID: https://orcid.org/0000-0003-4742-6466)
Youkhabeh Mohammadian (ORCID: https://orcid.org/0000-0003-3732-1871)
Hamid Sharini (ORCID: https://orcid.org/0000-0002-3375-2546)
Behzad Mahaki (ORCID: https://orcid.org/0000-0001-7062-6971)
Leila Solouki (ORCID: https://orcid.org/0000-0001-7709-0815)
Soodeh Shahsavari (ORCID: https://orcid.org/0000-0002-5282-0030)
Hiwa Mohammadi (ORCID: https://orcid.org/0000-0002-2364-9430)

Institutions

Kermanshah University of Medical Sciences (IR)

Publication Details

Journal: Journal of Research in Medical Sciences
Published: 2025-10-01
DOI: https://doi.org/10.4103/jrms.jrms_406_24
Primary Topic: Bipolar Disorder and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

Comparison of the performance of machine learning algorithms for the task-switching functional magnetic resonance imaging data for distinguishing attention deficit hyperactivity disorder from bipolar disorder

Authors

Institutions

Publication Details

Comparison of the performance of machine learning algorithms for the task-switching functional magnetic resonance imaging data for distinguishing attention deficit hyperactivity disorder from bipolar disorder

Comparison of the performance of machine learning algorithms for the task-switching functional magnetic resonance imaging data for distinguishing attention deficit hyperactivity disorder from bipolar disorder

Abstract

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