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Machine learning predicts heart attacks with 90% accuracy | Verdict
Using data from 950 patients with chest pain, researchers from the University of Turku, Finland, were able to train an algorithm to identify patterns that indicate a higher propensity for heart attacks and cardiac-related deaths. The outcome of these patients was known over a six-year period, which meant the researchers were able to know with certainty if the predictions were accurate.