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Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine.

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第一作者： Shenguang,Li

第一单位： Shanghai Minhang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China.

作者： Shenguang,Li ^[1] ; Po,Zhu ^[1] ; Guoying,Cai ^[1] ; Jing,Li ^[1] ; Tao,Huang ^[2] ; Wenchao,Tang ^[3]

作者单位： Shanghai Minhang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China. ^[1] Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China. ^[2] School of Acupuncture-Moxibustion and Tuina, Shanhgai University of Traditional Chinese Medicine, Shanghai, China. ^[3]

关键词 K-nearest neighbors (KNN)constitution of traditional Chinese medicine insomnia machine learning prediction model random forest classifier (RFC)support vector classifier (SVC)

DOI 10.3389/fmed.2023.1292761

PMID 37928471

发布时间 2023-11-07

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Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine.

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Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine.

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Frontiers in medicine

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