The application characteristics of traditional Chinese medical science treatment on vertigo based on data mining Apriori algorithm

被引：0

作者：

Wang, Miao ^{[1
]}

Chen, Li ^{[2
]}

Huang, Yanjun ^{[2
]}

Zhang, Lei ^{[2
]}

Zhang, Zihao ^{[2
]}

Ding, Jie ^{[1
]}

Shang, Huiliang ^{[2
]}

机构：

[1] Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai

[2] Department of Electronic Engineering, Fudan University, No. 220, Handan Road, Shanghai

来源：

International Journal of Wireless and Mobile Computing | 2015年 / 9卷 / 04期

基金：

高等学校博士学科点专项科研基金; 上海市自然科学基金; 中国国家自然科学基金;

关键词：

Apriori algorithm; Data mining; Mobile app; Traditional Chinese medicine; Vertigo;

D O I：

10.1504/IJWMC.2015.074041

中图分类号：

学科分类号：

摘要：

As the mechanism of the effective traditional Chinese medical science treatment remains ambiguous, researchers are seeking to analyse the therapies using traditional Chinese medicine (TCM) with advanced techniques. In this paper, we take advantage of data mining techniques with the software SPSS (Statistical Product and Service Solutions), in particular Apriori algorithm for Association Rules Mining (ARM), which discovers relationships by iteratively analysing large data sets of TCM medical records. After analysing the database, we are likely to reveal the interrelationships among TCM syndromes, clinical symptoms, and curative Chinese herbal medicine. Through verification, Apriori proves effective in helping traditional Chinese doctors decide what to prescribe when facing various patients with vertigo. The data used in the analysis are collected from our specially designed mobile app where well-trained doctors can upload their recent diagnostic results. With the increasing amount of diagnosis data, the effectiveness of our diagnoses is constantly improving. © Copyright 2015 Inderscience Enterprises Ltd.

引用

页码：349 / 354

页数：5