Electronic health records can help catch undiagnosed cases of Type 2 diabetes

By mining electronic health records, UCLA big data experts have develop a screening algorithm with the potential to vastly increase the number of correct diagnoses of the disease by refining the pool of candidates who are put forward for screening. They also uncovered several previously unknown risk factors for diabetes, including a history of sexual and gender identity disorders, intestinal infections and a category of illnesses that includes such sexually transmitted diseases as chlamydia. —> Read More