Purine metabolite-based machine learning models for risk prediction, prognosis, and diagnosis of coronary artery disease-Reference-Cited by-同舟云学术

Purine metabolite-based machine learning models for risk prediction, prognosis, and diagnosis of coronary artery disease

Published:2021-07 Issue: Volume:139 Page:111621
ISSN:0753-3322
Container-title:Biomedicine & Pharmacotherapy
language:en
Short-container-title:Biomedicine & Pharmacotherapy

Author:

Jung Sunhee,Ahn Eunyong,Koh Sang Baek,Lee Sang-Hak,Hwang Geum-Sook

Funder

Korea Basic Science Institute

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Pharmacology,General Medicine

Reference50 articles.

1. WHO, Cardiovascular diseases (CVDs), (2017). 〈https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)〉 (Accessed November 13, 2020).

2. Prevalence and incidence of atherosclerotic cardiovascular disease and its risk factors in Korea: a nationwide population-based study;Kim;BMC Public Health,2019

3. Comprehensive metabolomic profiling and incident cardiovascular disease: a systematic review;Ruiz-Canela;J. Am. Heart Assoc.,2017

4. Has the risk for coronary heart disease changed among U.S. adults?;Ajani;J. Am. Coll. Cardiol.,2006

5. The cardiovascular disease continuum validated: clinical evidence of improved patient outcomes: part II: clinical trial evidence (acute coronary syndromes through renal disease) and future directions.;Dzau;Circulation,2006

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