Development of an interpretable machine learning model associated with genetic indicators to identify yin-deficiency constitution

HIGHLIGHTS

• What: The models is trained with the baseline variables of participants on the training set, and prediction is made on the test set.
• Who: Jing Li from the National Institute of Traditional Chinese Medicine Constitution Preventive Medicine, Beijing University of Chinese Medicine, No11, Bei San Huan Dong Road, Chaoyang District, Beijing, China have published the article: Development of an interpretable machine learning model associated with genetic indicators to identify Yin-deficiency constitution, in the Journal: (JOURNAL)
• How: The results showed that NFKBIA BCL2A1 CCL4 were the most associated genetic indicators with Yindeficiency constitution . . .
  

   

  

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