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Diagnosis of Diabetes by using Naive Bayesian Classifier

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dc.contributor.author Tun, Kaythi
dc.contributor.author Myo, Nyein Nyein
dc.date.accessioned 2019-07-26T06:07:12Z
dc.date.available 2019-07-26T06:07:12Z
dc.date.issued 2011-12-29
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1367
dc.description.abstract Bayseian Classifier can predict class membership probabilities, such as the probability that a given sample belongs to a particular class. They are Powerful tools for solving classification problems in a vareity of domains. In this paper, the Navie Bayseian classifier is used in the medical domain for solving diagnostic of diabets disease problems. In case of disease like diabets disease early diagnostics is very important as it might help save a patients’s life. When the user’s input comes to the proposed system, the classifier will calculate the probability and output the prediction probability. Bayesian based on a probabilistic model of the observed data and prior knowledge. en_US
dc.language.iso en en_US
dc.publisher Sixth Local Conference on Parallel and Soft Computing en_US
dc.title Diagnosis of Diabetes by using Naive Bayesian Classifier en_US
dc.type Article en_US

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