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Using data mining techniques to determine predictors of hepatitis C virus treatment response / (Record no. 40279)

MARC details
000 -LEADER
fixed length control field 01693cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223030716.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121120s2012 ua d f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.03.M.Sc.2012.Ab.U
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Abubakr Hussien Mahmoud Awad
245 10 - TITLE STATEMENT
Title Using data mining techniques to determine predictors of hepatitis C virus treatment response /
Statement of responsibility, etc. AbuBakr Hussien Mahmoud Awad ; Supervised Ibrahim Farag Abdelrahman , Ahmed Hussien Kamal
246 15 - VARYING FORM OF TITLE
Title proper/short title إستخدام تقنيات التنقيب فى البيانات لتحديد مستدلات الإستجابة لعلاج الفيروس الكبدى سى
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Abubakr Hussien Mahmoud Awad ,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 109 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. 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
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term AFP
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Decision tree
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Gender
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed Hussien Kamal ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ibrahim Farag Abdelrahman ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Samia
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.20.03.M.Sc.2012.Ab.U 01010110058678000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.03.M.Sc.2012.Ab.U 01020110058678000 22.09.2023 CD - Rom 58678.CD