Machine learning could predict death or heart attack with over 90% accuracy: Study

A study claimed that machine learning, modern bedrock of artificial intelligence, could predict death or heart attack with more than 90 per cent accuracy. The study was presented at The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) 2019. By repeatedly analysing 85 variables in 950 patients with known six-year outcomes, an algorithm 'learned' how imaging data interacts. It then identified patterns correlating the variables to death and heart attack with more than 90 per cent accuracy. Doctors use risk scores to make treatment decisions. But these scores are based on just a handful of variables and often have modest accuracy in individual patients. Through repetition and adjustment, machine learning can exploit large amounts of data and identify complex patterns that may not be evident to humans.