Science 2.0: Analytics Can Predict Risk Of Metabolic Syndrome
Friday, June 27, 2014 - 20:50
in Mathematics & Economics
Obviously, as the creators of the four pillars of the Science 2.0 concept, we're interested in new ways to use data to make meaningful decisions, but we recognize that key breakthroughs are more likely to happen in the private sector, where money can be made filling a demand. A paper by Aetna and GNS Healthcare Inc. in the American Journal of Managed Care demonstrates how analysis of patient records using analytics can predict future risk of metabolic syndrome. read more