Comparison of Data Classification Algorithms to Determine the Type of Neonatal Jaundice

Comparison of Data Classification Algorithms to Determine the Type of Neonatal Jaundice

Background and Aim: Neonatal jaundice is a matter that is very important for clinicians all over the world because this disease is one of the most common cases that requires clinical care. The aim of this study is to use data classification algorithms to predict the type of jaundice in neonates, and...

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Bibliographic Details
Main Authors: Reza Safdari, Maliheh Kadivar, Parinaz Tabari, Hala Shawky Own
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2018-01-01
Series:پیاورد سلامت
Subjects:
neonatal
data mining
classification
jaundice
hyperbilirubinemia
Online Access:http://payavard.tums.ac.ir/article-1-6396-en.html

Internet

http://payavard.tums.ac.ir/article-1-6396-en.html

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