Fuzzy Logic Based Web Application for Gynaecology Disease Diagnosis

Abstract

The vagueness, fuzziness and uncertainty present in medical diagnosis are handled by fuzzy logic formalisms. Medical diagnosis process is simulated using various techniques, some of which are using fuzzy logic. The simulation of differential diagnosis process developed using fuzzy formalisms works in three stages. Initial screening stage accepts symptoms of patient and after computations results into an output as single or multiple diseases. For multiple diseases, this output is taken as input to Stage II which takes another input as history of the patient to give single or multiple diseases. This output and the investigative tests results are input to Stage III which works on Type 1 Fuzzy Inference System and gives single disease output. Development of a desktop application made the system scope limited to one user. The research web application widens the scope of the system thereby increasing utility of the model. The proposed system uses REST (Representational State Transfer) web service architecture having thin UI (User Interface) client serving multiple devices. Input is communicated to web server by client browser; web server in turn forward the request to application server. The application server executes all the complex algorithms to lift the heavy execution part and it shares the result to the client in the form of REST API via web server. The use of three-tier architecture helps to separate the application to divide the processing load on one machine. The client application is lightweight and stateless resulting minimum load on client browser. The use of Single Page Application (SPA) allows different devices and other applications to utilize same API developed. The web application for simulation of differential diagnosis in gynaecology diseases using fuzzy logic is an innovative step, can be used in medical centres at rural areas or can be a teaching aid to medical students or can be an assistant for general physicians.