대한신장학회

간행물 검색

현재 페이지 경로

논문분류	춘계학술대회 초록집
제목	Utilization of Combine Genetic Algorithm and Fuzzy K-Nearest Neighbor (GAFKNN) as an Early Detection of Kidney Disease
저자	Rifaldy Fajar, Prihantini Jupri
출판정보	2019; 2019(1):
키워드	Fuzzy KNN \| GAs \| Kidney disease
초록	Chronic kidney disease is one type of non-infectious but deadly disease. According to Basic Health Research, this disease in Indonesia has a value of prevention value of approximately 0.2 percent. But some people are still not aware that they have experienced this disease, and their kidney failure disease has been at the stage of chronic renal failure so that one of the treatment is to do dialysis. Whereas if the person is still in early or stage 2 kidney failure, can still do therapy without dialysis. In addition, some people are still lazy to consult, so it takes a program so that people can know their condition and motivated to do a checkup to the doctor. From these problems requires an early detection that can be done by classification. One method that can classify is Fuzzy KNN, but Fuzzy KNN has a weakness that is determining the value of k and m that yield optimal value. So do the merger with GAs. From the results of the merger, the program can produce a fairly optimal accuracy of 98%, with parameters on the GAs of population 40, generation 15, CR 0.5 and MR 0.8.
원문(PDF)	PDF 원문보기

간행물 검색