Discovery of Traditional Chinese Medicine Prescription Patterns Containing Herbal Dosage Based on Multilevel Top-K Weighted Association Rules

Author:

Zhu Xiaolin12ORCID

Affiliation:

1. School of Computer Science, China West Normal University, Nanchong 637002, China

2. Internet of Things Perception and Big Data Analysis Key Laboratory of Nanchong, Nanchong 637002, China

Abstract

In traditional Chinese medicine (TCM), drug dosage is an important part of the prescription. Different doses of the same drug can have varying curative effects. Doctors must determine the drug combination and dosage in clinical practice based on the patient’s symptoms and treatment efficacy. Existing studies on the prescription pattern of TCM on the treatment of osteoporosis only analyze the frequency that a certain drug combination is used, without considering the treatment efficacy or drug dosage. As a result, we searched for and recorded existing literature on randomized controlled trials of TCM treatment of osteoporosis, calculated weights based on the treatment efficacy of the prescriptions used in the randomized controlled trials, and created the TCM weighted transaction database. Then, a new multilevel Top-K weighted association rule algorithm is proposed to obtain effective prescription patterns that include drug dosages, which can assist doctors in clinical practice in choosing a combination of drugs to form a prescription with good curative effects.

Funder

Fundamental Research Funds of China West Normal University

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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