Prediction of Efficacy of Taeumjowi-Tang for Treatment of Metabolic Risk Factors Based on Machine Learning

Prediction of Efficacy of Taeumjowi-Tang for Treatment of Metabolic Risk Factors Based on Machine Learning

Herbal medicine is widely prescribed worldwide. To date, however, studies on the prediction of efficacy of herbal medicine based on machine learning have very rarely been reported. The objectives of this study are to predict the efficacy of Taeumjowi-tang (one of herbal medicines) and evaluate the p...

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Bibliographic Details
Main Authors: Bum Ju Lee, Mi Hong Yim, Youngju Jeon, Jun Su Jang, Ji Ho So, Joong Il Kim, Woosu Choi, Jihye Kim, Jiwon Yoon, Min Ji Kim, Young Min Kim, Taek Won Ahn, Jong Yeol Kim, Jun Hyeong Do
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
efficacy prediction
herbal medicine
machine learning
metabolic risk factors
anthropometry
Online Access:https://www.mdpi.com/2076-3417/11/18/8741

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https://www.mdpi.com/2076-3417/11/18/8741

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