Ensembled correlation between liver analysis outputs
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
North Atlantic University Union NAUN
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Data mining techniques on the biological analysis are spreading for most of the areas including the health care and medical information. We have applied the data mining techniques, such as KNN, SVM, MLP or decision trees over a unique dataset, which is collected from 16,380 analysis results for a year. Furthermore we have also used meta-classifiers to question the increased correlation rate between the liver disorder and the liver analysis outputs. The results show that there is a correlation among ALT, AST, Billirubin Direct and Billirubin Total down to 15% of error rate. Also the correlation coefficient is up to 94%. This makes possible to predict the analysis results from each other or disease patterns can be applied over the linear correlation of the parameters.
Açıklama
Anahtar Kelimeler
Data mining, Decision trees, Knn, Liver analysis, Mlp, Svm
Kaynak
International Journal of Biology and Biomedical Engineering
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
8
