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EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORK FOR CHRONIC RESPIRATORY DISEASES
P. ShubhaDeepti, S. V.N. Narayana Rao, V. Naveen Kumar, Dr. Y. Padma Sai

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-9, pp.6-14, Sep 2017
DPI :-> 16.10046.IJCESR.2017.V4I9.614.1924



Abstract
As per WHO recent estimations, the four major potentially fatal respiratory diseases (Asthma, Pneumonia, Tuberculosis and Chronic Obstructive Pulmonary Disease-COPD will account for about one in five deaths worldwide. Respiratory diseases are therefore likely to remain a major burden on society for decades to come. Both the prevention and treatment of lung diseases will need to be improved if their impact on longevity and quality of life of individuals, and their economic burden on society, are to be reduced worldwide. Early detection and effective diagnosis is the only rescue to lessen respiratory diseases fatality. Soft computing approaches are gaining importance in medical disease diagnosis because of their classification performance. In this paper we have developed the expert system which is based on artificial neural network that models human abilities in analyzing and diagnosing respiratory diseases like Asthma, Pneumonia, COPD and Tuberculosis. The objective of developing the system is to diagnosing the potential disease that one may suffer is done by providing relevant inputs through a consultation in which the patient has to answer the set of questions related to signs and symptoms.

Key-Words / Index Term
Disease diagnosing, respiratory diseases, expert system, inference technique

How to cite this article
P. ShubhaDeepti, S. V.N. Narayana Rao, V. Naveen Kumar, Dr. Y. Padma Sai , “EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORK FOR CHRONIC RESPIRATORY DISEASES”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-9, pp.6-14, Sep 2017. DPI:16.10046.IJCESR.V4.I9.1924