The Research Of Web-based Community Medical Intelligent Service System

With the development of computers and the Internet,the computer application is more popular, with The help of Web-based community medical intelligent service system, it is very convenience for people to know healthy where there is internet, but the system can not accuracy understand the question what was said from people in Chinese.This paper based on Artificial Intelligence is talking about how the Expert System can provide early illness-warning, preliminary diagnose and guiding diagnose.Through my investigation, we find that there still have no a good Artificial Intelligence system based web can provide early illness-warning, preliminary diagnose and guiding diagnose. So we did the Research of Web-based community medical intelligent service system. Considering the different knowledge of people, in order to let the system can understand the nature Chinese,at user-port we using the Chinese world segmentation module to improve system. Chinese word segmentation is the key point of Chinese Natural language processing, the words dictionary's data structure directly influences speed and efficiency of the segmentation. In order to enhance the search speed of the dictionary, the algorithm is based on forward maximum match, words dictionary's data structure is Improved Double-Hash and dynamic array in this system. It can increase speed and efficiency, but do not enhance the space complexity and maintenance complexity of words dictionary. In order to diagnose accuracy, we also consider the geography position in the regulation, at the same time, System can recommend people to the nearly hospital or more right hospital by using WebGIS. The system use the base knowledge database and the space database which about location at the same time, this method increased the diagnose accuracy.