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New Delhi, May 13 (ANI): A study claimed that machine learning, a fundamental foundation of artificial intelligence, could predict death or a heart attack with an accuracy of more than 90%. The study was presented at the International Conference on Nuclear Cardiology and Computed Tomography (ICNC) 2019. By repeatedly badyzing 85 variables in 950 patients with known results over six years, an algorithm "learned" the disease. 39, interaction of imaging data. He then identified models correlating the variables to death and heart attack with an accuracy of more than 90%. Doctors use risk scores to make treatment decisions. But these scores are based on only a handful of variables and often have a modest accuracy in each patient. Through repetition and adjustment, machine learning can harness large amounts of data and identify complex patterns that may not be obvious to humans.
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