Predictors of 30-day mortality using machine learning approach following carotid endarterectomy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health,Neurology (clinical),Dermatology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10072-022-06392-2.pdf
Reference39 articles.
1. Poorthuis MHF, Herings RAR, Dansey K et al (2022) External validation of risk prediction models to improve selection of patients for carotid endarterectomy. Stroke 53(1):87–99. https://doi.org/10.1161/STROKEAHA.120.032527
2. Rothwell PM, Slattery J, Warlow CP (1997) Clinical and angiographic predictors of stroke and death from carotid endarterectomy: systematic review. BMJ 315(7122):1571–1577. https://doi.org/10.1136/bmj.315.7122.1571
3. Naylor AR, Ricco JB, de Borst GJ et al (2018) Editor’s choice – management of atherosclerotic carotid and vertebral artery disease: 2017 clinical practice guidelines of the European Society for Vascular Surgery (ESVS). Eur J Vasc Endovasc Surg 55(1):3–81. https://doi.org/10.1016/j.ejvs.2017.06.021
4. McCrory DC, Goldstein LB, Samsa GP et al (1993) Predicting complications of carotid endarterectomy. Stroke 24(9):1285–1291. https://doi.org/10.1161/01.STR.24.9.1285
5. Hobson RW, Weiss DG, Fields WS et al (1993) Efficacy of carotid endarterectomy for asymptomatic carotid stenosis. N Engl J Med 328(4):221–227. https://doi.org/10.1056/NEJM199301283280401
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