文章基本信息

标题：USING FUZZY LOGIC TO ENHANCE THE CLASSIFICATION AND DIAGNOSING OF HYPERTENSION
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作者：SHIRAZ H.E. ; NORMA ALIAS
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：20
页码：2430-2440
出版社：Journal of Theoretical and Applied
摘要：High blood pressure, which has a widespread in today's world, is a disease that can cause serious damage to the cardiovascular system. To illustrate, in 1975, 594 million people were diagnosed with hypertension. However, the number has doubled over the last 40 years to become over 1.1 billion in 2015. Moreover, a significant number of patients do not even know they have hypertension due to the inadequate awareness of hypertension symptoms. Because of the difficulty with distinguishing the symptoms of hypertension, fuzzy logic can be utilized as an efficient diagnostic tool. Several research papers have suggested various diagnostic algorithms based on fuzzy logic. Hence, the contribution of this research is to investigate the most recent researches conducted on fuzzy logic for diagnosing hypertension. This will help to enhance the classification, diagnosing method and to overcome the limitations of existing approaches.
关键词：Fuzzy logic; classification method; diagnosing method; Hypertension; Blood Pressure