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dc.contributor.authorKaneria, Vaishali V.-
dc.contributor.authorJani, N.N.-
dc.contributor.authorMehta, Richa.-
dc.contributor.authorKamani, Gautam.-
dc.date.accessioned2021-09-03T10:49:22Z-
dc.date.available2021-09-03T10:49:22Z-
dc.date.issued2012-10-01-
dc.identifier.citationKaneria, Vaishali, N. N. Jani, Richa Mehta, and Gautam Kamani. "Applying Naïve Bayesian Classifier for Getting Probability Based Result for E-Knowledge Services In Healthcare." (2012). International Journal of Engineering Research & Technology, 1(8), 1-4.en_US
dc.identifier.issn2278-0181-
dc.identifier.urihttps://www.ijert.org/applying-nave-bayesian-classifier-for-getting-probability-based-result-for-e-knowledge-services-in-healthcar-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/746-
dc.description.abstractIn the existing health system various systems of medicine are available. Here a special EHR has been prepared to integrate multiple SOM. By applying some data mining technique result can be derived intelligently from the existing available data in EHR. Naïve Bayesian classification technique is selected for getting the result because it can give probability based evaluation. Weka tool is used for the selected algorithm. Different test options are used in Weka to dissect the algorithm at better extent.en_US
dc.language.isoen_USen_US
dc.publisherInternational Journal of Engineering Research & Technologyen_US
dc.subjectSOM (System of Medicine), EHR (Electronic Health Record), Naïve Bayesianen_US
dc.titleApplying Naïve Bayesian Classifier for Getting Probability Based Result for E-Knowledge Services In Healthcareen_US
dc.typeArticleen_US
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