Cargando…
An Improved Apriori Association Rule for the Identification of Acupoints Combination in Treating COVID-19 Patients
This work presents a data-driven method for identifying the potential core acupoint combination in COVID-19 treatment through mining the association rules from the retrieved scientific literature and guidelines for prevention and treatment of COVID-19 published all over China. It is based on the rep...
Autor principal: | Zheng, Yanyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470328/ https://www.ncbi.nlm.nih.gov/pubmed/36110907 http://dx.doi.org/10.1155/2022/3900094 |
Ejemplares similares
-
An Apriori Algorithm-Based Association Rule Analysis to Identify Acupoint Combinations for Treating Diabetic Gastroparesis
por: Lu, Ping-Hsun, et al.
Publicado: (2021) -
The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease
por: Zheng, Yanyan, et al.
Publicado: (2022) -
Combination of Acupoints in Treating Patients with Chronic Obstructive Pulmonary Disease: An Apriori Algorithm-Based Association Rule Analysis
por: Hsieh, Po-Chun, et al.
Publicado: (2020) -
An Apriori Algorithm-Based Association Rule Analysis to Identify Herb Combinations for Treating Uremic Pruritus Using Chinese Herbal Bath Therapy
por: Lu, Ping-Hsun, et al.
Publicado: (2020) -
An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions
por: Jian, Zhiwen, et al.
Publicado: (2020)