Remedy Selection based on Artificial Intelligent Methods

Abstract

Homeopathy decision is a decision under uncertainty and an essential activity for accurate treatment. Expert systems have long history of application in medical diagnosis. In this paper we study application of Fuzzy Expert System and decision tree for selection of suitable remedy in Homeopathy. A decision made by Homeopath is highly dependent on the quality of selected rubrics. The rubrics are collected during case taking and generally contains expressions that might be considered fuzzy, such as 'never', 'sometimes', 'always', and so on, making it difficult to model them with conventional computational methods. In this context, fuzzy set theory in expert systems is an interesting tool to deal with the representation of inaccurate medical entities. Hence, we can go from natural language (linguistic variables) to numerical variables which are more convenient to handle in a computer. The proposed method reduces sensitivity of system to homeopath mistakes and increase security of system.