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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Identifying Type of Prostate Cancer using Analytic Hierarchy Process

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Author Lazim Abdullah, Filzah Sulaiman
ISSN 2079-8407
On Pages 27-32
Volume No. 7
Issue No. 2
Issue Date March 1, 2016
Publishing Date March 1, 2016
Keywords Prostate cancer, multi-criteria decision makin, analytical hierarchy process, pair-wise comparison component.


Prostate cancer is one of the most prevalent types of cancer among males where many symptoms are said to be associated with. However, symptoms are a general identification of prostate cancer where most of patients shared the common symptoms, thereby it is difficult to suggest the actual type of prostate cancer. This paper aims to identify the most likely type of prostate cancer using the pair-wise comparison approach of decision making model. The typical types of prostate cancer and its most commonly shared symptoms are defined according to the framework of analytical hierarchy process (AHP). The symptoms of trouble urinating, difficulty starting urine stream, blood in urine and excessive urination at night are the selected criteria of the decision model. Three experts comprise two medical officers and an oncologist were interviewed to provide input data about the association of the common symptoms and types of prostate cancer. The five-step AHP was utilized to establish decision. Based on the common symptoms, the decision model identified prostate cancer of sarcoma is the most likely type of prostate cancer.

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