Expert-integrated automated machine learning uncovers hemodynamic predictors in spinal cord injury
Austin Chou, Abel Torres Espin, Nikos Kyritsis, John Russell Huie, Sarah Khatry, Jeremy Funk, Jennifer Hay, Andrew Lofgreen, Rajiv Ratn Shah, Chandler McCann, Lisa U. Pascual, Edilberto Amorim, Philip R. Weinstein, Geoffrey T Manley, Sanjay S. Dhall, , the TRACK-SCI Investigators
This paper develops an AutoML framework with explainable AI tools to identify hemodynamic predictors of spinal cord injury outcomes.
PLoS ONE · Apr 7, 2022Peer-reviewedBioinformatics