2024
DOI: 10.1161/jaha.124.034477
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Long‐Term Mortality Predictors Using a Machine‐Learning Approach in Patients With Chronic Limb‐Threatening Ischemia After Peripheral Vascular Intervention

Santiago Callegari,
Gaëlle Romain,
Jacob Cleman
et al.

Abstract: Background Patients with chronic limb‐threatening ischemia (CLTI) face a high long‐term mortality risk. Identifying novel mortality predictors and risk profiles would enable individual health care plan design and improved survival. We aimed to leverage a random survival forest machine‐learning algorithm to identify long‐term all‐cause mortality predictors in patients with CLTI undergoing peripheral vascular intervention. Methods and Results Patients wit… Show more

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