Then we apply linear regression(LR), support vector regression(SVR) as well as artificial neural networks(ANNs) to predict the efficacy of Wuji pills. The ...
We apply linear regression(LR), support vector regression(SVR) as well as artificial neural networks(ANNs) to predict the efficacy of Wuji pills.
Abstract-Efficacy prediction is an inseparable part of TCM. We firstly analyze the correlation between indicators and efficacy, and max blood-drug ...
Prediction of the efficacy of Wuji Pills by machine learning methods ... Machine learning approaches to predict learning outcomes in Massive open online courses.
Prediction of the efficacy of Wuji Pills by machine learning methods ... Authors: Haiqing Li; Guo-Zheng Li; William Yang; Ying Chen; Xiaoxin Zhu; Mary Qu Yang.
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Apr 1, 2022 · “Prediction of the Efficacy of Wuji Pills by Machine Learning Methods,” in IEEE International Conference on Bioinformatics and Biomedicine ...
“Prediction of the Efficacy of Wuji Pills by Machine Learning Methods,” in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen ...
Prediction of the efficacy of Wuji Pills by machine learning methods ... methods to predict the efficacy of traditional Chinese medicine (TCM) prescription.
Here, a novel method named Multi-target Regression Framework to deal with the problem of efficacy prediction is proposed. We employ the correlation between the ...
Feb 23, 2024 · The powerful computing and learning ability of AI technology can significantly accelerate the efficiency of new drug discovery. Using data ...