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dc.contributor.authorAzian Azamimi, Abdullah
dc.contributor.authorZulkarnay, Zakaria
dc.contributor.authorNur Farahiyah, Mohammad
dc.date.accessioned2011-10-08T03:16:11Z
dc.date.available2011-10-08T03:16:11Z
dc.date.issued2011-01-24
dc.identifier.citationp. 113-117en_US
dc.identifier.isbn978-0-7695-4336-9
dc.identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5730330
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/14065
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThe aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20's, 30's and 40's years and is divided into male and female gender. The input data is collected from a total of 10 people which consists of male and female with different working background. The parameters used as input for this fuzzy expert system were age, Body Mass Index (BMI), blood pressure and heart rate. Hypertension is diagnosed if blood pressure is over than 140/90mmHg. Hypertension is called the silent killer because it has no symptoms and can cause serious disease if left untreated for a long time [8]. Thus, an intelligent and accurate diagnostic system is needed in order to threat the hypertension patient. In this study, we have proposed an expert system using fuzzy for diagnosis of hypertension. The diagnosis process, linguistic variables and their values were modeled based on expert's knowledge and from existing literature. It is expected that our proposed Fuzzy Expert System can provide a faster, cheaper and more accurate result compared with other traditional methods.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2011)en_US
dc.subjectBlood pressureen_US
dc.subjectFuzzy Expert System (FES)en_US
dc.subjectHypertensionen_US
dc.subjectMedical diagnosisen_US
dc.titleDesign and development of Fuzzy Expert System for diagnosis of hypertensionen_US
dc.typeWorking Paperen_US
dc.contributor.urlazamimi@unimap.edu.myen_US
dc.contributor.urlzulkarnay@unimap.edu.myen_US
dc.contributor.urlfarahiyah@unimap.edu.myen_US


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