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Feature Selection For Medical Diagnosis Of Fever

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dc.contributor.author Min, War War
dc.date.accessioned 2019-07-31T03:30:32Z
dc.date.available 2019-07-31T03:30:32Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1484
dc.description.abstract The system based on feature selection methods of artificial intelligence (AI). Artificial Intelligence becomes the major subject. Machine learning technology is one of the branches of the AI. The human brain provides inspiration for artificial intelligence researchers. It will react with the human behavior understanding and predicting the possible results. The symptoms will be accepted. By using the feature selection method of AI to the accepted symptom, the result will be displayed. The result will be the type of fever for the symptom. It is aim to develop a computerized diagnosis system for the types of fever. The aim of the paper is to develop a computerized diagnosis system for the types of fever. The facts and figures of the problem-domain expert are gained and converted to decision tree. The decision tree is used to determine the types of disease by feature selection. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Feature Selection For Medical Diagnosis Of Fever en_US
dc.type Article en_US


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