Extracting Associations from Kidney Transplantations Dataset

Abdallah, Mudathir Abdallah; Alshreef, Mohammed Hasan Altayeb

Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/10121

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DC Field	Value	Language
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
Appears in Collections:	Bachelor of Computer Science and Information Technology

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