Cargando…
An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as an Example
In this work, an ontology-based model for AI-assisted medicine side-effect (SE) prediction is developed, where three main components, including the drug model, the treatment model, and the AI-assisted prediction model, of the proposed model are presented. To validate the proposed model, an ANN struc...
Autores principales: | Yao, Yuanzhe, Wang, Zeheng, Li, Liang, Lu, Kun, Liu, Runyu, Liu, Zhiyuan, Yan, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791233/ https://www.ncbi.nlm.nih.gov/pubmed/31662790 http://dx.doi.org/10.1155/2019/8617503 |
Ejemplares similares
-
Evaluating the Traditional Chinese Medicine (TCM) Officially Recommended in China for COVID-19 Using Ontology-Based Side-Effect Prediction Framework (OSPF) and Deep Learning
por: Wang, Zeheng, et al.
Publicado: (2021) -
Application and Development of Intelligent Medicine in Traditional Chinese Medicine
por: Duan, Yu-yu, et al.
Publicado: (2021) -
Editorial: Artificial Intelligence in Traditional Medicine
por: Wu, Chaoyong, et al.
Publicado: (2022) -
The Research and Development Thinking on the Status of Artificial Intelligence in Traditional Chinese Medicine
por: Li, Nan, et al.
Publicado: (2022) -
Developing an artificial intelligence method for screening hepatotoxic compounds in traditional Chinese medicine and Western medicine combination
por: Chen, Zhao, et al.
Publicado: (2022)