Title :
Prediction of some Complete Blood Count parameters´ values using Boosted Regression Tree
Author :
Yasemin Zeynep Engin;Kemal Turhan;Asim Örem
Author_Institution :
Department Of Medical Informatics, Karadeniz Technical University, Faculty of Medicine, Trabzon Tü
fDate :
7/1/2012 12:00:00 AM
Abstract :
In this study, we used Boosted Regression Tree (BRT) method to predict some Complete Blood Count (CBC) parameters´ values, using other existing parameter values.
Keywords :
"Blood","Medical diagnostic imaging","Data mining","Regression tree analysis","Boosting","Prediction algorithms","Laboratories"
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6246942
