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Title |
Prediction of Complex Heart Disease Using LVQ Algorithm |
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Author |
Subhasis Mitra, Anju kumari, Aparna saha, Antalina Das, Sukanya Roy |
| Citation |
Vol. 25 No. 11 pp. 128-132 |
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Abstract |
The diagnosis of heart disease at the early time is important to save the life of people as it is absolutely annoying process which requires extent knowledge and rich experience. By and large the expectation of heart infections in conventional method for inspecting reports . In case of heart disease, its diagnosis is most difficult task. It depends on the careful analysis of different clinical and pathological data of the patient by medical experts, which is complicated process. Due to advancement in machine learning, computer and information technology, the researchers and medical practitioners in large extent are interested in the development of automated system for the prediction of heart disease. In this paper we present a prediction system for heart disease using Learning vector Quantization neural network algorithm. The neural network in this system accepts 13 clinical features as input and predicts that there is a presence or absence of heart disease in the patient, along with different performance measures. |
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Keywords |
heart disease, machine learning, learning vector quantization algorithm |
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