Analysis of patient records using state-of-the-art data analytics can be done to predict future risk of metabolic syndrome, as demonstrated in research published in /iAmerican Journal of Managed Care/i. More than a third of the U.S. population has metabolic syndrome, a condition that can lead to chronic heart disease, stroke and diabetes. These conditions combine to account for almost 20 percent of overall health care costs in the U.S. The study was conducted by Aetna (NYSE: ...
Read MoreYou have just read an article categorized health
titled Predicting Risk of Metabolic Syndrome With Big Data Analytics.
Written by:
editor - Monday, June 30, 2014
There are currently no comments for "Predicting Risk of Metabolic Syndrome With Big Data Analytics"
Post a Comment