International Journal of Medical Research & Health Sciences (IJMRHS)
ISSN: 2319-5886 Indexed in: ESCI (Thomson Reuters)
Samir Kumar Bandyopadhyay
Department of Computer Science, Bhawanipur Education Society College, Kolkata, IndiaPublications
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Research
Machine Learning Techniques and Syntactic Pattern Recognition based Heart Disease Prediction for Smart Health
Author(s): Shawni Dutta, Payal Bose, Vishal Goyal and Samir Kumar Bandyopadhyay*
Cardiovascular Disease (CVD) may sometimes unexpected loss of life. It affects the heart and blood vessels of the body. CVD plays an important factor in life since it may cause the death of a human. It is necessary to detect early of this disease for secure a patient’s life. In this chapter two exclusively different methods are proposed for the detection of heart disease. The first one is Pattern Recognition Approach with grammatical concepts and the second one is the machine learning approach. In the syntactic pattern recognition approach initially, ECG wave from different leads is decomposed into pattern primitive based on diagnostic criteria. These primitives are then used as terminals of the proposed grammar. Pattern primitives are then input into the grammar. The parsing table is created in a tabular form. It finally indicates the patient with any disease or normal. Here fi.. Read More»
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