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Intelligent decision support system of swine flu prediction using novel case classification algorithm
International Journal of Knowledge Engineering and Data Mining
Case Based Reasoning (CBR) is a powerful problem-solving method that could be effectively used in medical science. But for the success of CBR, reasonable evaluation of case similarity is one of the key technologies. In order to solve feature weighting problem in case similarity a weighted nearest neighbour (w-NN) is considered based on inductive learning for swine flu prediction. Finally based on w-NN and extensibility in similarity, a novel case classification algorithm is proposed for swinedoi:10.1504/ijkedm.2014.066219 fatcat:vfyqnglr6fcnnbk4hhrknne7ni