Generalizable pipeline for constructing HIV risk prediction models across electronic health record systems.
The HIV epidemic remains a significant public health issue in the United States. HIV risk prediction models could be beneficial for reducing HIV transmission by helping clinicians identify patients at high risk for infection and refer them for testing. This would facilitate initiation on treatment for those unaware of their status and pre-exposure prophylaxis for those uninfected but at high risk. Existing HIV risk prediction algorithms rely on manual construction [...]
Author(s): May, Sarah B, Giordano, Thomas P, Gottlieb, Assaf