Medicine prediction based on doctor’s degree: a data mining approach

<span>The effective use of information mining in profoundly unmistakable fields like e-business, promoting and retail has prompted its application different enterprises. There is an absence powerful investigation devices to find concealed connections patterns information. This examination paper expects give a review ebb flow systems learning revelation databases utilizing strategies that are being used today’s therapeutic research especially medicine prediction. Correlation, Chi-square Euclidean distance feature selections select features showing the comparison result between K-Nearest neighbors, Naïve Bayes, decision tree, artificial neural network. The uncovers tree beats sometime Bayesian grouping having comparative precision as choice tree. analysis performance can be done such doctor’s degrees may vary diseases medicine.</span>