Title: Study on the rule and logical relationship of TCM prescription for lumbago

Authors: Yong Xiao; Jiaozhi Wang; Shaowu Shen; Xiaoqiong Wang; Yunfang Liu; Yan Wang

Addresses: College of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China ' College of Information Engineering, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China ' Institute of Standardisation and Information Technology, College of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China ' Information Centre, Mianyang Hospital of Traditional Chinese Medicine, Mianyang 621000, China ' Department of Information Management & Engineering, Law & Business College of Hubei University of Economics, Wuhan 430205, Hubei, China ' Information Engineering College, Hubei University of Chinese Medicine, Wuhan 430065, China

Abstract: Based on the prescription information of low back pain obtained from the hospital electronic medical record system, this paper first analyses the efficacy of drugs, the rules of drug such as four qi and five taste, and then the Apriori algorithm is used to find the association rules of prescription drugs. Finally, the high-order logic analysis method based on probability logic is used to mine the high-order logic relationship of prescription drugs.

Keywords: lumbago; electronic medical record; prescription regularity; logic relationships.

DOI: 10.1504/IJDMB.2020.113698

International Journal of Data Mining and Bioinformatics, 2020 Vol.24 No.4, pp.368 - 379

Received: 16 Jan 2021
Accepted: 18 Jan 2021
Published online: 18 Mar 2021 *

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