TY  - BOOK
AU  - Abubakr Hussien Mahmoud Awad
AU  - Ahmed Hussien Kamal , 
AU  - Ibrahim Farag Abdelrahman , 
TI  - Using data mining techniques to determine predictors of hepatitis C virus treatment response / 
PY  - 2012///
CY  - Cairo : 
PB  - Abubakr Hussien Mahmoud Awad , 
KW  - AFP
KW  - Decision tree
KW  - Gender
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science; Issued also as CD
N2  - Egypt has a heavy burden of HCV infection (10%). The aim of this work is to develop a series of predictive models that can predict patients who are likely to respond to optimize the cost of treatment. This study included 2962 HCV patient. Data cleansing, auditing and feature selection were done. We constructed three decision tree learning algorithms-C4.5, CART, FDTL
UR  - http://172.23.153.220/th.pdf
ER  -