Abstract
This paper proposed a method to implement an intelligent system to find out the risk of cardiovascular diseases in human being. Genetics play a direct and indirect role in increasing the risks of cardiovascular diseases. Habits and individual symptom viz. suffering from diabetes, obesity and hypertension also can influence the risk of the said diseases. Excessive energy accumulation in ones body can create fatal problem in health. In this paper, method has been proposed to the proposed to investigate three major factors i.e. family history of CVD, Other diseases and Average Energy Expenditure and find out the of level of risks of cardiovascular diseases.
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Gupta, S., Banerjee, A. (2015). Proposed Intelligent System to Identify the Level of Risk of Cardiovascular Diseases Under the Framework of Bioinformatics. In: Gupta, S., Bag, S., Ganguly, K., Sarkar, I., Biswas, P. (eds) Advancements of Medical Electronics. Lecture Notes in Bioengineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2256-9_1
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DOI: https://doi.org/10.1007/978-81-322-2256-9_1
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