Predicting hyperlipidemia in people living with HIV (PLWH) may have become easier with new research indicating that machine learning is capable of predicting hyperlipidemia in those who have been taking highly active antiretroviral therapy (HAART) for 6 months. The study, published in AIDS,1 shows promise in preventing cardiovascular diseases in PLWH.
PLWH number approximately 40 million around the globe,2 with approximately 30.7 million using HAART.3 These patients have an increased risk of health complications brought on by HIV, including cardiovascular conditions.4 Predictive models using machine learning algorithms have been established in the past to predict the probability of a patient developing a certain condition, which can be helpful for PLWH given their predisposition to multiple conditions. This study aimed…