Innovative method uses Big Data to predict patients' disease risks

07/30/2013 | Healthcare Informatics online

Nitesh Chawla, a computer science associate professor 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. In order to examine the disease risk and well-being of patients, the system uses a novel filtering method that looks at Big Data from similar patients. "Healthcare informatics and advanced analytics, or data science, may contribute to this shift from population-based evidence for healthcare decision-making to the fusion of population- and individual-based evidence in healthcare. The key question is how to leverage health population data to drive patient-centered healthcare," said Chawla.

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