The application characteristics of traditional Chinese medical science treatment on vertigo based on data mining Apriori algorithm Online publication date:: Sun, 03-Jan-2016
by Miao Wang; Li Chen; Yanjun Huang; Lei Zhang; Zihao Zhang; Jie Ding; Huiliang Shang
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 9, No. 4, 2015
Abstract: 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.
Online publication date:: Sun, 03-Jan-2016
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com