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Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project)

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Year: 2017
Type: article
Source: The American Journal of Cardiology
DOI: 10.1016/j.amjcard.2017.08.029
Authors: Mouaz H. Al-Mallah, Radwa Elshawi, Amjad M. Ahmed, Waqas T. Qureshi, Clinton A. Brawner, Michael J. Blaha, Haitham M. Ahmed, Jonathan K. Ehrman, Steven J. Keteyian, Sherif Sakr
Institutions: Henry Ford Health, King Saud bin Abdulaziz University for Health Sciences, Henry Ford Hospital, King Abdullah International Medical Research Center, National Guard Health Affairs, Princess Nourah bint Abdulrahman University, Wake Forest University, Johns Hopkins University, Johns Hopkins Hospital, Cleveland Clinic
Language: English

Topic: Cardiovascular and exercise physiology
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W2751809207
FWCI: 5.685
Cites: 43
Cited by: 28
Related to: 10
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