A machine learning approach for recommending herbal formulae with enhanced interpretability and applicability

HIGHLIGHTS

• who: Won-Yung Lee et al. from the College of Korean Medicine, Dongguk University, Dongguk-ro, Ilsandong-gu, Goyang-si , have published the paper: A Machine Learning Approach for Recommending Herbal Formulae with Enhanced Interpretability and Applicability, in the Journal: Biomolecules 2022, x of /2022/
• what: The authors believe that the model provides understandable recommendations for KM doctors who need decision making assistance and researchers who wish to study the HF selection process. The authors evaluate the consistency of the interpretation results. The authors proposed an HF recommendation model with enhanced applicability and interpretability.
 



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