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Case-Based Reasoning System for Chronic Obstructive Pulmonary Disease

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dc.contributor.author Soe, Zun Myat Myat
dc.contributor.author Htike, Thin Thin
dc.contributor.author Min, Mar Mar
dc.date.accessioned 2019-10-15T16:06:29Z
dc.date.available 2019-10-15T16:06:29Z
dc.date.issued 2019-03
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2295
dc.description.abstract Case-Based Reasoning (CBR) is the process of solving new problems based on the solution of similar past problems. The system stores the knowledge of medical experts and the medical records of the previous cases. In medicine, it is very difficult to get correct diagnosis because there are many possible diseases in each case. And it is also important to get diagnosis as soon as possible to save lives of people. It is not easy for a person to consult a medical specialist whenever she feels a symptom of a disease. In this situation, a computer program giving health information provides users to decide whether the symptom is serious or not. The fundamental idea in CBR is problem solving based on the retrieval of similar cases, in its simplest form this is k-nearest neighbor classification. This paper has presented Chronic Obstructive Pulmonary Diagnosis (COPD) System which helps to diagnose a disease stages and treatments by using the basic idea behind CBR and classify the severity of COPD. en_US
dc.language.iso en_US en_US
dc.publisher National Journal of Parallel and Soft Computing en_US
dc.relation.ispartofseries Vol-1, Issue-1;
dc.title Case-Based Reasoning System for Chronic Obstructive Pulmonary Disease en_US
dc.type Article en_US


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