Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms-Reference-Cited by-同舟云学术

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Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms

Published:2021-09-27 Issue: Volume: Page:
ISSN:1720-8319
Container-title:Aging Clinical and Experimental Research
language:en
Short-container-title:Aging Clin Exp Res

Author:

Gao Jian-Min,Ren Zeng-Hua,Pan Xin,Chen Yu-Xin,Zhu Wei,Li Wei,Yang Yan-Xi,Fu Guo-Xiang

Funder

national natural science foundation of china

Publisher

Springer Science and Business Media LLC

Subject

Geriatrics and Gerontology,Ageing

Link

https://link.springer.com/content/pdf/10.1007/s40520-021-01985-x.pdf

Reference40 articles.

1. Ungvari Z, Kaley G, de Cabo R et al (2010) Mechanisms of vascular aging: new perspectives. J Gerontol A Biol Sci Med Sci 65:1028–1041

2. Selvin E, Erlinger TP (2004) Prevalence of and risk factors for peripheral arterial disease in the United States: results from the National Health and Nutrition Examination Survey, 1999–2000. Circulation 110:738–743

3. Fowkes FG (1988) Epidemiology of atherosclerotic arterial disease in the lower limbs. Eur J Vasc Surg 2:283–291

4. Verim S, Taşçı I (2013) Doppler ultrasonography in lower extremity peripheral arterial disease. Turk Kardiyol Dern Ars 41:248–255

5. Rooke TW, Hirsch AT, Misra S et al (2011) 2011 ACCF/AHA focused update of the guideline for the management of patients with peripheral artery disease (updating the 2005 guideline): a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 58:2020–2045

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