Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification

Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification

Bipolar disorder (BD) is a complex psychiatric condition characterized by alternating episodes of mania and depression, posing significant challenges for accurate and timely diagnosis. This study explores the use of the Random Forest (RF) algorithm as a machine learning approach to classify patients...

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Bibliographic Details
Main Authors: Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Life
Subjects:
bipolar disorder
machine learning
random forest
artificial intelligence
classification
Online Access:https://www.mdpi.com/2075-1729/15/3/394
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