Innovative method uses Big Data to predict patients' disease risks

07/30/2013 | Healthcare Informatics online

Nitesh Chawla, an associate professor of computer science at the University of Notre Dame, and his doctoral student Darcy Davis have developed the Collaborative Assessment and Recommendation Engine computer-aided method that leverages EHRs to come up with personalized disease risk profiles for individuals. To examine disease risk and well-being, the system uses a novel filtering method that looks at Big Data from similar patients. "Health care informatics and advanced analytics, or data science, may contribute to this shift from population-based evidence for health care decision-making to the fusion of population- and individual-based evidence in health care. The key question is how to leverage health population data to drive patient-centered health care," said Chawla.

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