Towards Designing A Hierarchical Fuzzy System for Early Diagnosis of Heart Disease
Heart disease may represent a range of conditions that affect our heart. Disease under heart diseases umbrella include coronary heart disease, heart attack, congestive heart failure, and congenital heart disease, is the leading cause of death. Mor eover, heart disease not only attacks the elderly. I...
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| Formato: | article |
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| Lenguaje: | EN |
| Publicado: |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b15b667e99ec4f62abc95144333cdc2d |
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| Sumario: | Heart disease may represent a range of conditions that affect our heart. Disease under heart diseases
umbrella include coronary heart disease, heart attack, congestive heart failure, and congenital heart
disease, is the leading cause of death.
Mor
eover, heart disease not only attacks the elderly. In the present
day, lots of younger people might be getting affected by the number of heart diseases. In order to
decrease the mortality rate caused by heart disease, it is necessary for the disease, to be
diagnosed at an
early stage. In this paper, we have proposed the use of hierarchical fuzzy systems (HFSs) for early
diagnosis of heart disease. However, to design the HFSs is challenging, especially for the complex
system. Therefore, in this paper, we foc
us on designing a hierarchical fuzzy system to handle the complex
medical application. The designed HFS consists of six key main steps implemented on heart disease. The
input variables of heart disease includes shortness of breath, discomfort, pressure, he
aviness, or pain in
the chest, arm, or below the breastbone, fatigue, nausea, difficulties in climbing stairs, swelling in ankles,
difficulty to sleep at night, irregular heartbeats, fullness, sweating, take frequent break during the day,
dizzy and depress
ed. Additionally, the output of heart disease is to classify whether the patient is healthy
or suspecting with heart disease.
The study contributes to providing insight into a way of designing the
HFSs, particularly for the complex medical application. |
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