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Differentiation between depression and bipolar disorder in child and adolescents by voice features.

Jie LuoYuanzhen WuMengqi LiuZhaojun LiZhuo WangYi ZhengLihui FengJihua LuFan He
Published in: Child and adolescent psychiatry and mental health (2024)
By exploring the characteristics of voice features in children and adolescents, machine learning can effectively differentiate between MDD and BD in a population, and voice features hold promise as an objective physiological indicator for the auxiliary diagnosis of mood disorder in clinical practice.
Keyphrases
  • bipolar disorder
  • major depressive disorder
  • machine learning
  • clinical practice
  • young adults
  • big data
  • sleep quality
  • physical activity
  • depressive symptoms
  • mental health
  • artificial intelligence
  • deep learning