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Association between impaired glucose metabolism and long-term prognosis at the time of diagnosis of depression: Impaired glucose metabolism as a promising biomarker proposed through a machine-learning approach.

Dong Yun LeeYong Hyuk ChoMyoungsuk KimChang Won JeongJae Myung ChaGeun Hui WonJai Sung NohSang Joon SonRae Woong Park
Published in: European psychiatry : the journal of the Association of European Psychiatrists (2023)
We developed prediction models for IGM occurrence within a year. The predicted results were related to the long-term prognosis of depression, presenting as a promising IGM biomarker related to the prognosis of depression.
Keyphrases
  • depressive symptoms
  • machine learning
  • sleep quality
  • risk assessment
  • artificial intelligence
  • big data
  • physical activity
  • drug induced