Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/10121
Title: Extracting Associations from Kidney Transplantations Dataset
Other Titles: إستخراج قواعد الإرتباط من بيانات زارعي الكلى
Authors: Abdallah, Mudathir Abdallah
Alshreef, Mohammed Hasan Altayeb
Keywords: Data Mining
kidney failur
Rules of engagement
matlab
Issue Date: 22-Dec-2014
Publisher: Sudan University of Science and Technology
Citation: Abdallah , Mudathir Abdallah . Extracting Associations from Kidney Transplantations Dataset / Mudathir Abdallah Abdallah , Mohammed Hasan Altayeb Alshreef ; Wafaa Faisal Mukhtar . _ KHARTOUM : Sudan University of Science and Technology, College of Computer Science and Information Technology , 2014 . _ 80 p : ill ; 28 cm . _ bachelors search
Abstract: Abstract Data Mining is one of the most motivating area of research which become increasingly popular in healthcare. Studies in heath scope used data mining techniques for diagnosing diseases and much less in prognosis stage of diseases. The records of the members of The Sudanese Kidney Transplanted Associations has been collected and their follow-up data from Cardiac Surgery & Renal Transplantations Center at Ahmed Qassim hospital in Khartoum North. We used Clementine, ARMADA association mining tool and MatLab to develop a program based on Apriori algorithm for extracting association rules. There are some differences in the results, but they all shows the essentially factors that impacts on renal functions.
Description: bachelors search
URI: http://repository.sustech.edu/handle/123456789/10121
Appears in Collections:Bachelor of Computer Science and Information Technology

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