Towards Designing A Hierarchical Fuzzy System for Early Diagnosis of Heart Disease

Authors

  • Tajul Rosli Razak Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Nurika Filzah Mahadi Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Iman Hazwam Abd Halim Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Muhammad Nabil Fikri Jamaluddin Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Mohammad Hafiz Ismail Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Shukor Sanim Mohd Fauzi Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Ray Adderley JM Gining Universiti Teknologi MARA, Perlis Branch, Arau Campus

DOI:

https://doi.org/10.24191/jcrinn.v4i2.122

Keywords:

Heart disease, early diagnosis, hierarchical fuzzy systems

Abstract

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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Published

2019-11-14

How to Cite

Razak, T. R., Mahadi, N. F. ., Abd Halim, I. H., Jamaluddin, M. N. F., Ismail, M. H., Mohd Fauzi, S. S., & JM Gining, R. A. (2019). Towards Designing A Hierarchical Fuzzy System for Early Diagnosis of Heart Disease. Journal of Computing Research and Innovation, 4(2), 31–41. https://doi.org/10.24191/jcrinn.v4i2.122

Issue

Section

General Computing

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