Enhancement of Medical Repositories System: Using Clustering, Classical Genetic Algorithm and Fuzzy logic Approaches
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Abstract
A repository of Medical diagnostic system extracts the list of diseases and its treatments from data warehouse of the system and helps to detect the disease and treatments according to input symptoms. But repository is unable to detect those diseases whose symptoms are unmatched. In this paper, authors proposed an approach to remove this anomaly from the medical diagnostic system by using three approaches such as fuzzy logic, clustering and classical genetic algorithm. A physician takes input symptoms from patient and yield results. Moreover, physician compares his results with the result of medical diagnostic system.
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