A systematic review and analysis of the heart disease prediction methodology

Heart or cardiovascular diseases, according to world health organization (WHO) statistics, cause more deaths worldwide, compared to other diseases (31% of all deaths). Current trends project that India will soon rank number one in incidences of heart diseases. In the present scenario, every fifth death in India is due to heart diseases and this ratio is expected to rise up to every third death in 2020, with the majority of the afflicted among the younger age groups Hospitals all over the world collect a vast amount of data on heart diseases that can be used to predict disease rates manually. However, the data so far have not been translated efficiently to correlate them with the risk and symptoms of the disease [2]. *Author for correspondence The majority of heart disease-related deaths (75%) occur in low to middle-income countries, most likely due to high costs of diagnosis [3]. According to the National Center for Biotechnology Information (NCBI), the total number of deaths due to heart diseases in the USA increased from 23.2 million in 1990 to 37 million in 2010, i.e., by 59% [4]. Heart disease related mortality rates are lower in the developed countries compared to the developing countries [5].