The Study Of Computer-aided Diagnosis System Of Eye Disease Based On Pattern Recognition Technology

As China's economic development and the accelerated pace of life in modern society, people work and study are also used to increase the strength of the eye. So the burden of Ophthalmology is growing. Therefore, by using technological means to reduce the burden of ophthalmologists, thereby to improve Ophthalmology's diagnosis and treatment efficiency is very important.In recent years, Rural People's health problem earns more and more national attention, and in China's rural hospitals for ophthalmic physician is still relatively lacking. In response to the call to improve our country's rural medical conditions, so that let the majority of farmers to enjoy the results of modern technology and modern medicine has great social significance. Also, design an computer-aided diagnosis system for eye disease for the township hospital doctors,and the computer-aided diagnosis system for eye disease could not only Assist ophthalmologists to diagnose patients, but also for the less experienced interns to learn the process of eye disease diagnose and treatment is very necessary.Expert system applications in the medical field have many met, but little of them can be accepted by the clinical doctors. The reason of this phenomenon is traditional medical expert system has two flaws. The first flaw is:the experience of medical experts to be compiled to a section of standardized, formal rules. Another drawback is:ignore the real process of doctors to diagnose the disease is:first step "consultation" next step "conclusion" and is also "consultation"-"conclusion" alternative process. This paper presented two flaws of traditional medical expert system, and then this paper proposed a medical expert system designed new ideas. This paper argues that a practical and truly Can be accepted medical expert system by doctors should have the following three points:First, medical experts system should be able to simulate the real process of doctor diagnose a patient.Second, the positioning of medical expert system should be to support and assist doctors to diagnose illnesses, inspired thinking, not to substitute doctors to make a diagnosis.Third, the medical expert system has to be self-learning, self-ability to sum up experience.Based on this new idea, this paper designed an ophthalmic diagnosis system to correction the two existing defects of traditional medical expert systems. This paper improved traditional medical expert systems as follows:First, use pattern recognition method to instead rule-based reasoning method to diagnose patients'disease. The advantage of this is:a large number of medical experts'valuable time will be saved and let the diagnosis system has the ability to learn. The system is a self-learning system, and with the increase of patient data the system will be more intelligent, more perfect, diagnostic accuracy will be higher.This paper used matlab simulation software to establish two eye disease diagnosis models. One of them is based on BP neural network method and the other one is based on support vector machine pattern recognition method. In order to simulate doctors'diagnose process, the assisted diagnosis model has two levels and three BP neural networks or three support vector machine. Then we use the patient case data obtained from the Chaoyang District Hospital of Jilin University to train the two diagnosis models and test the two models' ability of classification. According to the test results we optimized the diagnostic model respectively. Finally, test and comparison the two models, analyze test results and choice the better one to complete the Computer-aided Diagnosis System for Eye Disease.Traditional medical expert systems can only make "conclusion" can not "consultation". To make up for this deficiency the author according to doctors'actual process diagnosis, proposed that a medical experts system working process should be:first step "consultation" next step "conclusion" and also "consultation"-"conclusion" alternative process. The positioning of medical expert system should be to support and assist doctors to diagnose illnesses, inspired thinking.Finally, the author according to the new medical experts system design ideas, design and implementation an eye disease diagnosis system.