Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease-Reference-Cited by-同舟云学术

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

Published:2022-03-23 Issue:5 Volume:45 Page:633-640
ISSN:0174-1551
Container-title:CardioVascular and Interventional Radiology
language:en
Short-container-title:Cardiovasc Intervent Radiol

Author:

Cox Meredith^ORCID,Reid Nicholas,Panagides J. C.,Di Capua John,DeCarlo Charles,Dua Anahita,Kalva Sanjeeva,Kalpathy-Cramer Jayashree,Daye Dania

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s00270-022-03111-4.pdf

Reference32 articles.

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2. Patel MR, Conte MS, Cutlip DE, Dib N, Geraghty P, Gray W, et al. Evaluation and treatment of patients with lower extremity peripheral artery disease: consensus definitions from peripheral academic research consortium (PARC). J Am Coll Cardiol. 2015;65:931–41.

3. Thorud JC, Plemmons B, Buckley CJ, Shibuya N, Jupiter DC. Mortality after nontraumatic major amputation among patients with diabetes and peripheral vascular disease: a systematic review. J Foot Ankle Surg. 2016;55:591–9.

4. Kohn CG, Alberts MJ, Peacock WF, Bunz TJ, Coleman CI. Cost and inpatient burden of peripheral artery disease: findings from the national inpatient sample. Atherosclerosis. 2019;286:142–6.

5. Hardman RL, Jazaeri O, Yi J, Smith M, Gupta R. Overview of classification systems in peripheral artery disease. Semin Interv Radiol. 2014;31:378–88.

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