Big Data Analytic approach to Predict Risk Assessment for Cardiovascular Diseases Using Framingham Risk Score
Keywords:
Big Data Analytics, Healthcare Analysis, Cardiovascular Diseases, Risk Assessment, Framingham Risk Score, cloud computingAbstract
Big data analytics in healthcare is emerging as a promising field for providing imminent predictive analysis from very large data sets and improving outcomes while reducing costs. Its potential benefits are enormous. However there remain challenges to overcome. Cardiovascular diseases (CVD) are the major cause and threat of mortality globally, as well as in India. They are caused by disorders of the heart and blood vessels, and include heart attacks, stroke, raised blood pressure (hypertension), congenital heart disease and heart failure. Most of the CVD can be prevented through proper risk assessment and necessary measures. Prevention of CVD involves improving risk factors through healthy eating habits, physical activity, avoiding tobacco smoke and alcohol intake. Treating risk factors, such as high blood pressure, blood lipids and diabetes is also beneficial. In this paper, we used Framingham risk score for risk assessment and large scale data analytics using hadoop map-reduce programming to estimate the patient risk for the data taken from Sai Balaji Hospital, chittoor.References
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Copyright (c) 2023 N Ch S N Iyengar, T Vivekanandan, Syed Thouheed Ahmed
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