As part of a four-year, $2.1 million multi-institution project funded by the National Science Foundation, data analytic teams from Georgia Tech and the University of Texas at Austin will develop algorithms and methods to convert EHR data into meaningful phenotypes focused on diseases and specific health traits.
For its part, Vanderbilt University will provide initial EHR data and phenotype validation. Resulting phenotypes will be refined and adapted in conjunction with data from Northwestern University so that the information and data can be used across multiple health institutions.
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