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Use of machine learning to diagnose somatic symptom disorder: Are the biomarkers beneficial for the diagnosis?

Chi-Shin WuShih-Cheng LiaoWei-Lieh Huang
Published in: The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry (2022)
The performance of RSA/SC/FT was unsatisfactory for diagnosing SSD but became comparable when excluding comorbid depression/anxiety.
Keyphrases
  • machine learning
  • sleep quality
  • depressive symptoms
  • artificial intelligence
  • copy number
  • big data
  • patient reported
  • deep learning
  • physical activity
  • gene expression
  • dna methylation