A machine learning algorithm shows promise for identifying, via data in their electronic health records, patients at high risk of developing HIV, according to research presented in New Orleans last week.
The work focuses on identifying patients who might benefit from pre-exposure prophylaxis (PrEP), a treatment to reduce the risk of developing HIV that’s been found highly effective, reports MedPage Today.
