Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters - Sonnenschein, Kristina; Stojanović, Stevan D.; Dickel, Nicholas; Fiedler, Jan; Bauersachs, Johann; Thum, Thomas; Kunz, Meik; Tongers, Jörn (Friedrich-Alexander-Universität Erlangen-Nürnberg, 2021)
Keywords: artificial intelligence; machine learning; classification model; Random Forest; peripheral artery disease; vascular disease