The expert system application for diagnosing human vitamin deficiency through forward chaining method

Abstract

Vitamins are organic foods that are indispensable for the growth and health of the body. In case of health problems, especially lack of vitamins, people are more trusting doctor and nutritionist to find out whether the treatment is still low-level disorder or chronic. With the use of technology applications such as expert systems, the needs of society in diagnosing early vitamin deficiency can be realized. An expert system is one branch of artificial intelligence to learn how to “adopt” an expert way of thinking and reasoning in solving a problem, and contains a decision and draw conclusions from a number of facts. Application of expert system diagnosis of vitamin deficiency in humans is in the form of desktop-based application. This application uses forward chaining method and technique of depth first search engines. Forward Chaining method is a a method that is driven by the data where the tracking starts from the observation of the input information and then try to describe the conclusions. Application of expert system is able to facilitate community in diagnosing early vitamin deficiencies that can save time, costs, and makes it easy for the user.