A Machine Learning Approach for Recommending Herbal Formulae with Enhanced Interpretability and Applicability

Herbal formulae (HFs) are representative interventions in Korean medicine (KM) for the prevention and treatment of various diseases. Here, we proposed a machine learning-based approach for HF recommendation with enhanced interpretability and applicability. A dataset consisting of clinical symptoms,...

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Detalles Bibliográficos
Autores principales: Lee, Won-Yung, Lee, Youngseop, Lee, Siwoo, Kim, Young Woo, Kim, Ji-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687459/
https://www.ncbi.nlm.nih.gov/pubmed/36358954
http://dx.doi.org/10.3390/biom12111604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687459/
https://www.ncbi.nlm.nih.gov/pubmed/36358954
http://dx.doi.org/10.3390/biom12111604

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