The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease

Abstract

In this work, an improved Apriori algorithm is proposed. The main goal is to improve the processing efficiency of the algorithm, and the idea and process of the Apriori algorithm are optimized. The proposed method is compared with the classical association rule algorithm to verify its effectiveness. Traditional Chinese medicine plays a certain role in the prevention and treatment of COVID-19. In order to deeply mine the association rules between Chinese herbal medicines for the prevention and treatment of COVID-19, this improved Apriori algorithm is applied from the retrieved published scientific literature and the guidelines for the prevention and treatment of COVID-19 published all over China. Based on the representation of traditional Chinese medicine data in binary form, the potential core traditional Chinese medicine combinations in the treatment of COVID-19 are identified. The results of association rules of Chinese herbal medicine data obtained from the real database provide an important reference for the analysis of COVID-19 combined treatment of Chinese herbal medicine.

Efficacy and safety of Qi and Blood Tonic Chinese Medicines in the treatment of COVID-19: A protocol for systematic review and meta-analysis

“…One of the principles, in addition, the direct or indirect antiviral and anti-inflammatory effects of TCM are being explored and promoted. [ 10 , 35 – 37 ] In the New Crown epidemic, the “3 drugs tripartite” consisting of Lianhua Qingwen Capsule, Jinhua Qinggan Granule, Xuebijing Injection, Lung Cleansing and Detoxifying Decoction, Huashibaidu Formula, and Xuanfeibaidu Granule, summarized or promoted with Many herbal formulas represented by classical TCM formulas such as Yupingfeng powder, Shengmai power and Dushen decoction contain herbal medicines such as Huangqi, Renshen, Dangshen, Xiyangshen, Baizhu, Shanyao, Gancao, Danggui, Shudi, Hongjingtian, Baishao, Gouqi, Dazao. [ 38 ] Many of these herbal medicines are not only used throughout but are especially important in the recovery period.…”

A Systematic Review on IoT and Machine Learning Algorithms in E-Healthcare

“…For COVID-19 prediction, Shaikh and Chitre proposed a novel Apriori algorithm based on Association Rule Mining (ARM) [37]. Zheng and Chen [38], introduced an improved Apriori algorithm comparing Chinese herbal medicine for COVID-19 treatment. In Reference [33], the authors demonstrated the Apriori method's use in examining co-morbidity or multi-morbidity in a large Electronic Medical Record (EMR) database.…”