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

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

ObjectiveThis study sought to explore the utility of machine learning models in predicting insomnia severity based on Traditional Chinese Medicine (TCM) constitution classifications, with an aim to discuss the potential applications of such models in the treatment and prevention of insomnia.MethodsW...

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Bibliographic Details
Main Authors: Shenguang Li, Po Zhu, Guoying Cai, Jing Li, Tao Huang, Wenchao Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Medicine
Subjects:
machine learning
insomnia
constitution of traditional Chinese medicine
prediction model
random forest classifier (RFC)
support vector classifier (SVC)
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1292761/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1292761/full

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