The power of data-driven ASSISTance in personalized testing for coronary artery disease

Author:

Wahab Ali123,Nadarajah Ramesh123ORCID

Affiliation:

1. Leeds Institute of Data Analytics, University of Leeds , 6 Clarendon Way, Leeds, LS2 9DA , UK

2. Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds , 6 Clarendon Way, Leeds, LS2 9DA , UK

3. Department of Cardiology, Leeds General Infirmary, Leeds Teaching Hospital NHS Trust , Great George Street, Leeds, LS1 3EX , UK

Publisher

Oxford University Press (OUP)

Reference11 articles.

1. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019;Diseases;Lancet,2020

2. Clinical presentation and diagnosis of coronary artery disease: stable angina;Davies;Br Med Bull,2001

3. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR guideline for the evaluation and diagnosis of chest pain: executive summary: a report of the American College of Cardiology/American Heart Association joint committee on clinical practice guidelines;Gulati;Circulation,2021

4. 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes;Knuuti;Eur Heart J,2020

5. Initial invasive or conservative strategy for stable coronary disease;Maron;N Engl J Med,2020

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