An Application of Information Entropy for Ophthalmologists’ Decision Making

The decision process of medical Ophthalmology vary in the degree to which a patient is fit with respect to various factors such as age, spectacle prescription, astigmatic, tear production rate, etc., In the past rough set theory has been used to study such decision processes. But no efficient procedures have been developed to deal with the complicating aspects of medical Ophthalmology. Therefore an attempt has been made to analyze the inconsistencies of the decision making process. In real life many types of contact lenses are in practice and there are several factors that influence the decision as to which type, if any, to suit. The decision support system adopted by an ophthalmologist is defined by the use of information entropy. Information entropy theory has been used in the method of analyzing the objects and attributes of the decision table for reducing its uncertainty. Then, the priorities of the attributes are determined. The results can address the ophthalmologists in their decision making process.