Machine Learning Methods in Early Diagnosis of Coronary Artery Disease

Luxmi Verma
2018 Journal of Cardiology & Cardiovascular Therapy  
With the advancement in information technology in health care sector, the medical hospitals are generating a huge volume of data including patient's details, medications, ECG etc. It was required to understand this large collection of data and deduce the meaningful patterns out of it. In the recent past, Data mining methods proved best for finding the hidden patterns out of the large data. These methods have been applied by researchers to transmute data into knowledge. One of the most life
more » ... tening disease worldwide is Coronary artery disease. It is one of the lifestyle diseases where cost of detection and treatment is high. One of the gold standards for diagnosis of disease is coronary angiography, which is invasive method and requires high end tests with a lot of technical expertise. So many researchers are seeking intelligent computation methods for disease detection. This review gives the insight of how computational methods are used in detection of Coronary Artery Disease.
doi:10.19080/jocct.2018.11.555801 fatcat:xcm4fsaggncineauks24zl4tse