Uncertainties are always present in the patient data received from far distance. The patient description about his feelings are vague. In this paper, it has been demonstrated that processing the patient data with a fuzzy-genetic algorithm at expert doctor end will reduce the uncertainties and vagueness in the patient data. The initial population for the genetic algorithm is randomly generated with assumed fuzzy functions. These functions are optimized using the theory of reproduction, crossover, and mutation. The result shows that the fuzzy-genetic algorithm give satisfactory result for telemedicine.)
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