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 |