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Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/26924
TitlePrediction and diagnosis of leukemia using classification algorithms
Title in Arabicالتنبؤ بسرطان الدم وتشخيصه باستخدام خوارزميات التصنيف
Abstract

Algorithms used in data mining techniques are of great importance in the field of health care, especially in the case of getting patterns or models that are undiscovered in databases. In the area of health care, leukemia affects the blood status and can be discovered by using the Blood Cell Counter (CBC). This study aims to predict the leukemia existence by determining the relationships of blood properties and leukemia with gender, age, and health status of patients using data mining techniques. More than 4,000 patients were taken from a blood test laboratory from European Gaza Hospital at Gaza Strip. Three classification algorithms are identified for blood Cancer classification; k-nearest neighbor (k-NN), decision tree (DT) and Support Vector Machine (SVM). These three classifiers were implemented and studied thoroughly in terms of classification accuracy and F-Measure. From our experimental results, it was noticed that the decision-tree algorithm had the highest percentage of 77.30% compared with the other two techniques. In addition, the DT classifier obtains properties regarding outer attributes such as city (eastern regions) that are most vulnerable to leukemia.

Authors
Daqqa, Khaled A. S. Abu
Maghari, Ashraf Y. A.
Al Sarraj, Wael F.
TypeConference Paper
Date2017-05
LanguageEnglish
Subjects
Data Mining
Machine Learning
Published in2017 8th International Conference on Information Technology (ICIT)
PublisherIEEE
Citation
DOI10.1109/ICITECH.2017.8079919
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback