header
Local cover image
Local cover image
Image from OpenLibrary

Using data mining techniques to determine predictors of hepatitis C virus treatment response / AbuBakr Hussien Mahmoud Awad ; Supervised Ibrahim Farag Abdelrahman , Ahmed Hussien Kamal

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Abubakr Hussien Mahmoud Awad , 2012Description: 109 Leaves : charts ; 30cmOther title:
  • إستخدام تقنيات التنقيب فى البيانات لتحديد مستدلات الإستجابة لعلاج الفيروس الكبدى سى [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2012.Ab.U (Browse shelf(Opens below)) Not for loan 01010110058678000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2012.Ab.U (Browse shelf(Opens below)) 58678.CD Not for loan 01020110058678000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

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

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image