An Apriori Algorithm-Based Association Analysis of Analgesic Drugs in Chinese Medicine Prescriptions Recorded From Patients With Rheumatoid Arthritis Pain

Abstract

Chronic pain, a common symptom of people with rheumatoid arthritis, usually behaves as persistent polyarthralgia pain and causes serious damage to patients' physical and mental health. Opioid analgesics can lead to a series of side effects like drug tolerance and addiction. Thus, seeking an alternative therapy and screening out the corresponding analgesic drugs is the key to solving the current dilemma. Traditional Chinese Medicine (TCM) therapy has been recognized internationally for its unique guiding theory and definite curative effect. In this study, we used the Apriori Algorithm to screen out potential analgesics from 311 cases that were treated with compounded medication prescription and collected from “Second Affiliated Hospital of Zhejiang Chinese Medical University” in Hangzhou, China. Data on 18 kinds of clinical symptoms and 16 kinds of Chinese herbs were extracted based on this data mining. We also found 17 association rules and screened out four potential analgesic drugs—“Jinyinhua,” “Wugong,” “Yiyiren,” and “Qingfengteng,” which were promised to help in the clinical treatment. Besides, combined with System Cluster Analysis, we provided several different herbal combinations for clinical references.

Association between traditional Chinese Medicine and osteoarthritis outcome: A 5-year matched cohort study

“…Association rule. The association rules are primarily based on the Apriori algorithm for finding the underlying correlation of all common item sets in the database [ 22 ]. The Apriori module of SPSS Clementine v.11.1 (IBM Corp., Armonk, NY, USA) recognized the interdependence between CHM and variables.…”

Toward Enhanced Customer Transaction Insights: An Apriori Algorithm-based Analysis of Sales Patterns at University Industrial Corporation

“…In the realm of health sciences, association rules' usage facilitated the sifting of potential analgesics from a pool of 311 cases treated with compounded drug prescriptions, extracting data on clinical symptoms and types of Chinese herbs [17]. Notably, it facilitated the development of an automatic diagnostic system for breast cancer detection [18], and the identification of distinguishing factors between dementia patients, and caregivers linked to long-term care services [19].…”

Challenges and Strategies of Student Management in Universities in the Context of Big Data

“…e Apriori algorithm is an algorithm for mining frequent item sets for Boolean association rules [19][20][21]. Apriori is a Boolean association rule frequent itemset mining algorithm that is part of unsupervised learning in machine learning [22,23].…”