Using Machine Learning to Diagnose HIV-associated Neurocognitive Disorders
June 24, 2019
More than 25 percent of individuals with HIV experience a set of complications known as HIV-associated neurocognitive disorders (HAND). Symptoms are often subtle and dynamic, which renders diagnosis of the condition challenging. A new study published in Computers in Biology and Medicine explores automated approaches to detect biomarkers of HAND.