JIITA, vol.7 no.3, p.787-800 2023, DOI: 10.22664/ISITA.2023.7.3.795
S. Karunya, K. C. Chandra sekaran
Abstract: Heart disease prediction is the major research carried out nowadays to find the disease in the chosen data set of medical records. It is noted that the diseases as the first procedure of medical practice and permanent temperament of medicine. A number of computer oriented techniques utilized for the identification of heart diseases. One such method is used in this research work namely Type 2-Fuzzy technique and it has been concerning as the finest way to decrease this indistinctness. Newly, numerous researches have been available in terms of CHD diagnosis. The approach used in this research work is assist in envisage illness probability which gives result exactly. The Type-2 Fuzzy methodology conventions are applied to calculate the chances of CHD as short, average or serious. Usually the doctors consider the following attributes such as diabetes, fatness, agitated anxiety, smolder, deprived fasting, tension, etc to predict CHD. The machine learning techniques gives an appropriate platform to predict CHD in fast and efficient manner. This work yields the best results in order to find the heart disease in the chosen data set.
Keywords: Coronary heart disease, Illness Treatments, Disease Imprecision, Machine Learning, Type-2 Fuzzy Method
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