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Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease

Meredith Cox, Nicholas Reid, John Panagides, John Di Capua, Charles DeCarlo, Anahita Dua, Sanjeeva P. Kalva, Jayashree Kalpathy–Cramer, Dania Daye

2022CardioVascular and Interventional Radiology20 citationsDOI

Topics & Concepts

MedicineAmputationInterpretabilityClaudicationArterial diseasePopulationSurgeryMachine learningVascular diseaseComputer scienceEnvironmental healthPeripheral Artery Disease ManagementDiabetic Foot Ulcer Assessment and ManagementProsthetics and Rehabilitation Robotics
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease | Litcius