An Efficient Decision based Classification Model for Medical Diagnosis
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2019 by IJCOT Journal|
|Volume - 9 Issue - 2
|Year of Publication : 2019|
|Authors : R.S.Ravindra Babu, M.Ravindra, P.Ch.Gayathri, S.Ramu, P.Nagarjuna Reddy|
MLA Style:R.S.Ravindra Babu, M.Ravindra, P.Ch.Gayathri, S.Ramu, P.Nagarjuna Reddy "A Double-Registration Based Algorithm for Secure Elections" International Journal of Computer and Organization Trends 9.2 (2019): 1-4.
APA Style:R.S.Ravindra Babu, M.Ravindra, P.Ch.Gayathri, S.Ramu, P.Nagarjuna Reddy (2019). An Efficient Decision based Classification Model for Medical Diagnosis. International Journal of Computer and Organization Trends, 9(2), 1-4.
We propose an efficient knowledge expert system based supervised model for classification of medical entities. Decision expert system helps the classification during the classification if any attribute missed during the computation of probability. Classification model analyzes the testing sample by forwarding to training sample.Decision-making statements can gives the analysis over the samples of training dataset, but cannot compute the missing values. Classification Model computes the initial probability, conditional probability and posterior probability and to analyze the testing medical diagnosis sample. Our proposed model gives more efficient results than traditional models.
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computation, Medical Diagnosis, ICD