A machine learning algorithm for peripheral artery disease prognosis using biomarker data-Reference-Cited by-同舟云学术

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A machine learning algorithm for peripheral artery disease prognosis using biomarker data

Published:2024-03 Issue:3 Volume:27 Page:109081
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Li Ben^ORCID,Shaikh Farah,Zamzam Abdelrahman,Syed Muzammil H.,Abdin Rawand,Qadura Mohammad

Publisher

Elsevier BV

Reference96 articles.

1. Peripheral Artery Disease: Current Insight Into the Disease and Its Diagnosis and Management;Olin;Mayo Clin. Proc.,2010

2. Premature atherosclerotic peripheral artery disease: An underrecognized and undertreated disorder with a rising global prevalence;Mehta;Trends Cardiovasc. Med.,2021

3. Lower Extremity Peripheral Artery Disease: Contemporary Epidemiology, Management Gaps, and Future Directions: A Scientific Statement From the American Heart Association;Criqui;Circulation,2021

4. Association of the von Willebrand Factor-ADAMTS13 Ratio With Incident Cardiovascular Events in Patients With Peripheral Arterial Disease;Green;Clin. Appl. Thromb. Hemost.,2017

5. Circulating ICAM-1 and VCAM-1 in peripheral artery disease and hypercholesterolaemia: relationship to the location of atherosclerotic disease, smoking, and in the prediction of adverse events;Blann;Thromb. Haemostasis,1998

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