Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases

dc.contributor.author	Win, Cho Ei Mon
dc.date.accessioned	2019-08-03T01:09:58Z
dc.date.available	2019-08-03T01:09:58Z
dc.date.issued	2009-12-30
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/1679
dc.description.abstract	Case Based Reasoning is a problem solving method which can generate the solution of a new problem by retrieving a solution of a previous similar case. In Case Base Reasoning Systems, old cases are used by an algorithm to solve user input problems or new cases. To be a complete CBR system, case adaptation algorithm is used to revise and retain the new case when no exact match case is found in the case base. This system is implemented as Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases. In this system, Case Nearest Neighbor Algorithm is used for retrieving similar cases to diagnose Gastric and Intestinal Diseases. This system also applies an rule induction algorithm (J.48) in case of no exact match case exists in the Case Base. Then the resulted solution can be retained in the system for future use.	en_US
dc.language.iso	en	en_US
dc.publisher	Fourth Local Conference on Parallel and Soft Computing	en_US
dc.title	Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases	en_US
dc.type	Article	en_US