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Web-Based Medical Diagnosis of Renal Diseases Using Case Based Reasoning

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dc.contributor.author Yu, Tin Tin
dc.contributor.author Phyu, Win Lei Lei
dc.date.accessioned 2019-08-05T01:32:30Z
dc.date.available 2019-08-05T01:32:30Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1728
dc.description.abstract As the web technology grow rapidly, many people take a great interest web-based methods and it is increasingly used to improve the quality of the medical services. Case Based Reasoning (CBR) is the process of solving a given new problem on the similar cases and new solution gained from the past solutions. CBR is the effective technique in the field of medical diagnosis. The primary goal of this paper to develop a case-based system where the user can diagnose four renal diseases. Nearest neighbor algorithm is used to search similar problem of the new problem in the case-base. If the new problem does not match with old problem in the case- base, this solution will be solved using adaptation rules that are taken from specialist. Then, the new solution will be introduced in the case base and it will be used to solve new problems in the future. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject Case Based Reasoning en_US
dc.subject Nearest Neighbor Algorithm en_US
dc.subject Adaptation rules en_US
dc.title Web-Based Medical Diagnosis of Renal Diseases Using Case Based Reasoning en_US
dc.type Article en_US


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