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Decision Support System for Dyspnoea Related Diseases Diagnosis

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dc.contributor.author Myint, Nan Yin Wai Toe
dc.contributor.author Myint, Mu Mu
dc.date.accessioned 2019-08-06T01:37:16Z
dc.date.available 2019-08-06T01:37:16Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1829
dc.description.abstract In medicine, diagnosis is the process of identifying a medical condition or disease by its signs and symptoms. The decision support system (DSS) is used to refer computer systems that offer information to the junior doctors in a more flexible form. This system use Bayesian classification to find the all probability of all diseases and to generate the maximum probability of disease which the patient suffers. Dyspnoea related diseases include (25) attributes (symptoms) and (18) classes (diseases). In this paper, a decision support system is implemented by using Bayesian Analysis to search the similar pattern of disease. A typical decision support system is designed to assist the junior doctors to make decisions. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Decision Support System for Dyspnoea Related Diseases Diagnosis en_US
dc.type Article en_US

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