A Machine Learning Tool to Predict Survival After First Surgery in Peripheral Artery Disease Patients
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The aim of this study was to develop and validate a machine learning tool for predicting survival in PAD patients who received surgical treatment. We used the data from 1,615 patients who underwent PAD surgery from 2005 to 2020. Gradient boosted decision trees... ...
