The experiment was conducted on Diabetes dataset in collaboration with a domain expert. The dataset was first bifurcated into two parts, namely: training-set and test-set. Knowledge in the form of rules was driven from the training-set and the same was tested on the test-set. The three experiments conducted on the dataset imply that useful knowledge can be derived in such a way and can help the medical practitioners to store the same in knowledge-base to handle the future cases of the same disease in a better way

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