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Purpose  Breast cancer is an important medical disorder, which is not a single disease but a cluster more than 200 different serious medical complications.    Design/methodology/approach  The new artificial bee colony (ABC) implementation has been applied to probabilistic neural network (PNN) for training and testing purpose to classify the breast cancer data set.    Findings  The new ABC algorithm along with PNN has been successfully applied to breast cancers data set for prediction purpose with minimum iteration consuming.    Originality/value  The new implementation of ABC along PNN can be easily applied to times series problems for accurate prediction or classification.

Using new artificial bee colony as probabilistic neural network for breast cancer data classification