Predicting neurodevelopmental outcomes in children with perinatal HIV using a novel machine learning algorithm
Robert H. Paul, Kyu Cho, Claude A. Mellins, Kathleen Malee, Reuben N. Robbins, Stephen John Kerr, Jiratchaya Sophonphan, Neda Jahanshad, Linda Aurpibul, Kulvadee Thongpibul, Pope Kosalaraksa, Suparat Kanjanavanit, Chaiwat Ngampiyaskul, Wicharn Luesomboon, Jurai Wongsawat, , on behalf of the PREDICT Study Group
The paper uses machine learning to predict neurocognitive outcomes in children with perinatal HIV, identifying key predictors from clinical data with high accuracy.
bioRxiv · May 9, 2019 · PreprintNeuroscience