Arash Hosseyni - Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran;
Farzane Khormali - Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran
Shayan Sepahvand - Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

This research aims to propose a fuzzy medical expert system capable of diagnosing the minor diseases that a general practitioner deduces from a conventional blood test. At the first stage, the designed system inputs a blood test, following this, based on the knowledge extracted from a vast number of expert general practitioners, the system begins to acquire data about patients by creating a list of inquiries and eventually, diagnoses the diseases by establishing a fuzzy inference engine. Moreover, a graphic user interface is developed to satisfy the requirement of displaying the outputs and interaction with patients. In order to prove the practical use of the expert system, a real study was conducted by testing the designed expert system on a mature male patient blood test.

Expert system, Blood test, Fuzzy inference engine, Disease diagnostic system, Approximate reasoning.