Application of Fuzzy Logic and Neural Network Algorithm as an Input to Decision Support System Prescribing Medicine for Diabetes

Decision support system (DSS) is a commonly used strategy to come up with a better solution. In the field of medicine, ideas from other doctors would be an effective way to determine the successful result of medicating a patient’s disease. In this paper, fuzzy logic and neural network is used as a tool to determine the right input of medicines to the DSS of doctors. Fuzzy logic would be used to filter medicines that are applicable to the patient’s capability. Through this, neural network would take the role of determining the most recommended medicine of the doctors from their previous patients. The output would serve as an input for the DSS which will be used by the doctors.

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