To improve diagnosis of the rare genetic disease acute hepatic porphyria (AHP), researchers from UC San Francisco and UCLA invented a predictive algorithm to analyze health care records and identify suspected porphyria patients. The algorithm searches through electronic health records to identify disease patterns and flag patients who may be at risk for AHP.
