Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project

Open Access

Peer-reviewed

Research Article

Manal Alghamdi,

Affiliations King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Saudia Arabia
⨯
Mouaz Al-Mallah,

Affiliations King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Saudia Arabia, Heart and Vascular Institute, Henry Ford Hospital System, Detroit, MI, United States of America
⨯
Steven Keteyian,

Affiliation Heart and Vascular Institute, Henry Ford Hospital System, Detroit, MI, United States of America
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Clinton Brawner,

Affiliation Heart and Vascular Institute, Henry Ford Hospital System, Detroit, MI, United States of America
⨯
Jonathan Ehrman,

Affiliation Heart and Vascular Institute, Henry Ford Hospital System, Detroit, MI, United States of America
⨯
Sherif Sakr

* E-mail: sakrs@ksau-hs.edu.sa

Affiliations King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Saudia Arabia

http://orcid.org/0000-0002-2503-523X

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Machine learning
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