header
Image from OpenLibrary

Single stage and multistage classification models for the predetion of liver fibrosis degrees / Ahmed Mohamed Hashem Fathy Mahmoud ; Supervised Mohamed Emad M. Rasmy , Olfat Gamil Shaker , Khaled Mohamed A. Wahba

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Mohamed Hashem Fathy Mahmoud , 2011Description: 259 P. : charts , facsimiles ; 30cmOther title:
  • نماذج تصنيفية أحادية المرحلة ومتعددة المراحل للتنبؤ بدرجات التليف الكبدى [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomdical Engineering Summary: Although liver biopsy is considered as mandatory for predicting degree of liver fibrosis in HCV patients , the tendency is to substitute it with non - invasive method . Therefore , in this study we have developed single stage and multistage stepwise classification models based on Neural Network , Decision Tree , Logistic Regression and Nearest Neighborhood clustering to predict individual's liver fibrosis degree
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 Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.Ph.D.2011.Ah.S (Browse shelf(Opens below)) Not for loan 01010110057269000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.Ph.D.2011.Ah.S (Browse shelf(Opens below)) 57269.CD Not for loan 01020110057269000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomdical Engineering

Although liver biopsy is considered as mandatory for predicting degree of liver fibrosis in HCV patients , the tendency is to substitute it with non - invasive method . Therefore , in this study we have developed single stage and multistage stepwise classification models based on Neural Network , Decision Tree , Logistic Regression and Nearest Neighborhood clustering to predict individual's liver fibrosis degree

Issued also as CD

There are no comments on this title.

to post a comment.