Intelligent home disease pre-diagnosis system for Korean traditional medicine using neural networks Online publication date: Tue, 15-Dec-2015
by Kwang Baek Kim; Hyun Jun Park; Doo Heon Song
International Journal of Information and Communication Technology (IJICT), Vol. 8, No. 1, 2016
Abstract: In this paper, we propose an intelligent self-health pre-diagnosis system for Korea traditional medicine (KTM). KTM is popularly used among general public with western medicine among Korean people worldwide. Our system consists of the standardised database constructed based on famous textbooks and government reports, fuzzy ART learning engine to extract top three most probable disease from user symptoms and a remote consultation communication platform. The database contents are verified by TM doctors for reliability and the experiment verifies its functionality successfully. We expect this effort can improve the accessibility of healthcare among elderly people and people living in small towns where western type healthcare is not well equipped from community healthcare point of view.
Online publication date: Tue, 15-Dec-2015
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