Data mining in medical diagnostic support system

Abstract

The health and education are always a vital issue for any countries in the world. In recent years, Vietnamese government has especially invested in these two main spearhead sectors adopting policies and capitals for infrastructure equipment and scientific research. In the field of scientific research, there have been more and more medical scientific works. However, there are not many information technology applications used to solve medical problems. Due to geographical characteristics of a tropical country, there are many diseases related to ultra-viral fever, such as petechial fever which is a very dangerous disease. Dengue vaccine is contemporarily not so popular in Vietnam. Therefore, this project focuses mainly on laws of dengue diagnose in Vietnam applying data mining technique. Base on clinical and subclinical symptoms, we can classify diseases of patients to help doctors diagnose and treat them better.

This research is conducted in four main steps: (1) Finding the medical specialist skills for petechial fever. Next, (2) collecting and pre-processing the data. Then, (3) Learning data mining classification algorithms to choose which would be suitable for the inquiries and collected data.

In addition, the thesis also proposes a method of coordination among information technology and medical experts to build diagnostic support system for different types of diseases. This brings out a practical meaning for rural and remote areas because of lacking in medical equipment for the first aids.