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

• Päätekijät: Reza Safdari (Tekijä), Maliheh Kadivar (Tekijä), Parinaz Tabari (Tekijä), Hala Shawky Own (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: Tehran University of Medical Sciences, 2018-01-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

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...