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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/4780
Title: Adaptive neuro fuzzy expert system for disease diagnosis
Authors: Bhardwaj S.
Kumar P.
Gupta A.K.
Published in: International Journal of Control Theory and Applications
Abstract: This 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.
Citation: International Journal of Control Theory and Applications(2016), 9(19): 9279-9282
URI: http://repository.iitr.ac.in/handle/123456789/4780
Issue Date: 2016
Publisher: Serials Publications
Keywords: Cancer
e-Health monitoring
Fuzzy concepts
Knowledge based methodology
Medical advice
Neuro-fuzzy
SMS advisory system
ISSN: 9745572
Author Scopus IDs: 57190795207
55466569500
57200421397
Author Affiliations: Bhardwaj, S., Computer Science Department, NIMS University, Rajasthan, India
Kumar, P., Computer Science Department, NIMS University, Rajasthan, India
Gupta, A.K., Department of Computer Applications, KIET, Ghaziabad, Uttar Pradesh, India
Appears in Collections:Journal Publications [CE]

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