文章基本信息

标题：PCA- Based Feature Extraction and k-NN algorithm for Early Jaundice Detection
本地全文：下载
作者：Muhammad Naufal Mansor ; Sazali Yaacob ; Hariharan Muthusamy 等
期刊名称：International Journal of Soft Computing and Software Engineering
电子版ISSN：2251-7545
出版年度：2011
卷号：1
期号：1
页码：25-29
DOI：10.7321/jscse.v1.n1.4
出版社：Advance Academic Publisher
摘要：Jaundice is a yellow discoloration of the skin and/or whites of the eyes that is often seen in newborn infants. The discoloration is caused by a yellow substance called bilirubin. Infants with high blood levels of bilirubin, called hyperbilirubinemia, develop the yellow color when bilirubin accumulates in the skin. The main symptom of jaundice is yellow colouring of the skin and conjunctiva of the eyes. Jaundice can also make babies sleepy which can lead to poor feeding. Poor feeding can make jaundice worse as the baby can become dehydrated. If a baby has conjugated jaundice, it may have white chalky stool (poo) and urine that is darker than normal. A PCA method was employed to study the behaviour of the infant. The experimental results reveal that the proposed method can minimize the morbidity and mortality than the conventional method based on k-NN Algorithm.
关键词：Jaundice Infant; Image Processing; PCA; k-NN