Sri Vasavi College, Erode Self-Finance Wing 3rd February 2017 National Conference on Computer and Communication NCCC’17

Format: Volume 5, Issue 1, No 10, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: Dr.S.K.Jayanthi, A.Ishwarya


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Cardiovascular disease (CVD) has become the world’s number one cause of morbidity and mortality. It leads to millions of deaths every year which are supposed to occur decades later. Around two-thirds of these deaths are due to acute events, which frequently occur suddenly and are often fatal before medical care can be given. Unexpected acute events are resulting in affliction and high treatment costs. Hence CVD becoming huge burdens even for developed countries. So, early prediction and intervention would be a huge benefit to society. Many groups have developed prediction models for CVD by classifying its risk based on risk factors such as age, sex, etc. Recent studies have uncovered that many genetic variants are associated with CVD outcomes. However, the potential clinical utility of genetic information has been uncovered initially and is expected for further development.


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Cardiovascular disease (CVD), genetic variants.

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