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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/4780
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dc.contributor.authorBhardwaj S.-
dc.contributor.authorKumar, Praveen Kishore-
dc.contributor.authorGupta A.K.-
dc.date.accessioned2020-10-06T14:50:42Z-
dc.date.available2020-10-06T14:50:42Z-
dc.date.issued2016-
dc.identifier.citationInternational Journal of Control Theory and Applications(2016), 9(19): 9279-9282-
dc.identifier.issn9745572-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/4780-
dc.description.abstractThis paper emphasizes on the power of neuro fuzzy system to propose a model for those people who cannot afford to consult the expert doctors owing to their high fees and unavailability in rural areas. This work has a promising future in the field of the Neural Network and Fuzzy Logic in designing of a complete model comprising of the analysis of a number of common diseases in India. Once globalized, this study will help to reduce the global burden of typical diseases. © International Science Press.-
dc.language.isoen_US-
dc.publisherSerials Publications-
dc.relation.ispartofInternational Journal of Control Theory and Applications-
dc.subjectCancer-
dc.subjecte-Health monitoring-
dc.subjectFuzzy concepts-
dc.subjectKnowledge based methodology-
dc.subjectMedical advice-
dc.subjectNeuro-fuzzy-
dc.subjectSMS advisory system-
dc.titleAdaptive neuro fuzzy expert system for disease diagnosis-
dc.typeArticle-
dc.scopusid57190795207-
dc.scopusid55466569500-
dc.scopusid57200421397-
dc.affiliationBhardwaj, S., Computer Science Department, NIMS University, Rajasthan, India-
dc.affiliationKumar, P., Computer Science Department, NIMS University, Rajasthan, India-
dc.affiliationGupta, A.K., Department of Computer Applications, KIET, Ghaziabad, Uttar Pradesh, India-
Appears in Collections:Journal Publications [CE]

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