2024-03-29T13:24:13Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/3901
2021-12-13T03:24:29Z
1582963302567:1597824273898
user-ucsy
Dengue Haemorrhagic Fever Diagnosis by using Case-Based Reasoning
San, Aye Aye
Kham, Nang Saing Moon
Case-based reasoning (CBR) has become asuccessful technique for developing medical diagnosis systems.CBR is an approach to knowledge-based problem solving anddecision support. This paper presents CBR methodology and thetechnical aspects of implementing a medical diagnosis system.As a case study, Dengue Haemorrhagic Fever (DHF) Diagnosissystem is implemented by using the basic idea behind CBR andclassifies the severity of DHF. Nearest Neighbor techniques isapplied for case retrieval. If the result of input case is notsatisfied, the adaptation process is done. For the adaptationprocess, the retrieved solution is adapted by adaption rules tomeet the input case’s constraints. This system has been testedwith DHF patient cases and overall system accuracy reaches96%.
2009-08-03
http://hdl.handle.net/20.500.12678/0000003901
https://meral.edu.mm/records/3901