A doctor's intuition alone predicts death poorly. And even traditional statistics, such as logistic regression, cannot handle the enormous number of variables that play a role in predicting when someone will die. Enter advanced computer algorithms, which can mine countless amounts of data and account for thousands of variables—and theoretically do a much better job predicting outcomes.
Experts are already applying advanced analytics to other areas of health care. Ruben Amarasingham, physician and former CEO of the Parkland Center for Clinical Innovation in Dallas, is one of the world's experts in studying how to apply predictive modeling in routine clinical care.
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