Shlachter, Baker & Fuquay write:
Electronic health records are all the rage these days. The value of enabling medical researchers to mine the data to discover, say, more cost-effective treatments or to catch a communicable disease is pretty clear.
But there could be a few less-scrupulous uses of that information, too, given that each of those records is tied to a real, live person who didn’t sign up to tell the world about his or her private health issues.
Enter two University of Texas at Arlington professors in the school’s Computer Science and Engineering Department. Guatam Das and Heng Huang teamed to develop a computational model that will guard personal data while still allowing the medical data to be used.
Read more on Star-Telegram.