Applying Naïve Bayesian Classifier for Getting Probability Based Result for E-Knowledge Services In Healthcare

Kaneria, Vaishali V.; Jani, N.N.; Mehta, Richa.; Kamani, Gautam.

dc.contributor.author	Kaneria, Vaishali V.
dc.contributor.author	Jani, N.N.
dc.contributor.author	Mehta, Richa.
dc.contributor.author	Kamani, Gautam.
dc.date.accessioned	2021-09-03T10:49:22Z
dc.date.available	2021-09-03T10:49:22Z
dc.date.issued	2012-10-01
dc.identifier.citation	Kaneria, 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.issn	2278-0181
dc.identifier.uri	https://www.ijert.org/applying-nave-bayesian-classifier-for-getting-probability-based-result-for-e-knowledge-services-in-healthcar
dc.identifier.uri	http://10.9.150.37:8080/dspace//handle/atmiyauni/746
dc.description.abstract	In 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.iso	en_US	en_US
dc.publisher	International Journal of Engineering Research & Technology	en_US
dc.subject	SOM (System of Medicine), EHR (Electronic Health Record), Naïve Bayesian	en_US
dc.title	Applying Naïve Bayesian Classifier for Getting Probability Based Result for E-Knowledge Services In Healthcare	en_US
dc.type	Article	en_US