dc.contributor.author | Azian Azamimi, Abdullah | |
dc.contributor.author | Zulkarnay, Zakaria | |
dc.contributor.author | Nur Farahiyah, Mohammad | |
dc.date.accessioned | 2012-05-31T07:37:09Z | |
dc.date.available | 2012-05-31T07:37:09Z | |
dc.date.issued | 2011-01-24 | |
dc.identifier.citation | p.113-117 | en_US |
dc.identifier.isbn | 978-0-7695-4336-9 | |
dc.identifier.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5730330 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/19483 | |
dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org/ | en_US |
dc.description.abstract | The 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.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartofseries | Proceedings of the 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2011) | en_US |
dc.subject | Fuzzy Expert System (FES) | en_US |
dc.subject | Hypertension | en_US |
dc.subject | Medical diagnosis | en_US |
dc.subject | Blood pressure | en_US |
dc.title | Design and development of Fuzzy Expert System for diagnosis of hypertension | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | azamimi@unimap.edu.my | en_US |
dc.contributor.url | zulkarnay@unimap.edu.my | en_US |
dc.contributor.url | farahiyah@unimap.edu.my | en_US |