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Fifty Book Challenge 2012
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A team of researchers has used data-mining and machine-learning techniques to find subtle changes in electrical activity in the heart that can be used to predict potentially fatal heart attacks. Researchers from the University of Michigan, MIT, Harvard Medical School and Brigham Women’s Hospital in Boston sifted through 24-hour electrocardiograms (which measure the electrical activity in the heart) from 4,557 heart-attack patients to find errant patterns that until now had been dismissed as noise or were undetectable.
(via INFORMS)