Presenting a Fuzzy Expert System for Diagnosis of Diabetes

Today, the problem of non-infectious diseases has overshadowed many health beliefs and has attracted the attention of scientific communities. In the past, the main problem of society and people was infectious diseases and the high mortality caused by these diseases, while today, due to the control of infectious diseases, the development of urbanization, the advancement of industry and machine life, in other words, the change in the quality and lifestyle of people, the spread of diseases Non-communicable diseases have increased and gradually contagious diseases have given their place to non-communicable diseases, so that today the most important causes of death in societies are non-communicable diseases, especially cardiovascular diseases, cancers and accidents. Diabetes mellitus is a chronic disease that is very expensive, complicated and debilitating. By the end of ۲۰۱۷, more than ۴۲۵ million people between the ages of ۲۰ and ۷۹ were suffering from diabetes, which will reach ۶۱۹ million people by ۲۰۴۵. For this reason, it is very important to provide diabetes control solutions. In this paper, a new method for simulating control in diabetic patients is presented. For this purpose, the technique of fuzzy expert system has been used in MATLAB software to analyze the data.

Keywords:

Diagnosis of diabetes , Control and treatment , Symptoms of diabetes , fuzzy expert system