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Extracting Associations from Kidney Transplantations Dataset

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dc.contributor.author Abdallah, Mudathir Abdallah
dc.contributor.author Alshreef, Mohammed Hasan Altayeb
dc.date.accessioned 2015-01-22T08:01:28Z
dc.date.available 2015-01-22T08:01:28Z
dc.date.issued 2014-12-22
dc.identifier.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 en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/10121
dc.description bachelors search en_US
dc.description.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. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Data Mining en_US
dc.subject kidney failur en_US
dc.subject Rules of engagement en_US
dc.subject matlab en_US
dc.title Extracting Associations from Kidney Transplantations Dataset en_US
dc.title.alternative إستخراج قواعد الإرتباط من بيانات زارعي الكلى en_US
dc.type Thesis en_US


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