Researchers from the University of Colorado medical school analyzed data from the Framingham Heart Study, which has tracked the eating patterns and cardiovascular health of more than 15,000 people since the 1940s. They were looking for previously unidentified risk factors for heart failure and stroke. They used a method known as machine learning, a form of artificial intelligence that looks for patterns in big data sets, similar to the way e-commerce websites might predict products a customer mighty like based on their previous shopping history.
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