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Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec

Samira Rahimi, Charlene H Chu, Roland Grad, Mark Karanofsky, Mylene Arsenault, Charlene E. Ronquillo, Isabelle Vedel, Katherine McGilton and Machelle Wilchesky
The Annals of Family Medicine January 2023, 21 (Supplement 1) 3619; DOI: https://doi.org/10.1370/afm.21.s1.3619
Samira Rahimi
PhD, Eng
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Charlene H Chu
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Roland Grad
MD, MSc, FCFP
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Mark Karanofsky
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Mylene Arsenault
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Charlene E. Ronquillo
PhD, RN
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Isabelle Vedel
MD, PhD
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Katherine McGilton
PhD
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Machelle Wilchesky
PhD
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Article Information

vol. 21 no. Supplement 1 3619
DOI 
https://doi.org/10.1370/afm.21.s1.3619

Published By 
The Annals of Family Medicine
Print ISSN 
1544-1709
Online ISSN 
1544-1717
History 
  • Published online January 24, 2023.

Copyright & Usage 
© 2023 Annals of Family Medicine, Inc.

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The Annals of Family Medicine: 21 (Supplement 1)
The Annals of Family Medicine: 21 (Supplement 1)
Vol. 21, Issue Supplement 1
1 Jan 2023
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Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec
Samira Rahimi, Charlene H Chu, Roland Grad, Mark Karanofsky, Mylene Arsenault, Charlene E. Ronquillo, Isabelle Vedel, Katherine McGilton, Machelle Wilchesky
The Annals of Family Medicine Jan 2023, 21 (Supplement 1) 3619; DOI: 10.1370/afm.21.s1.3619

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Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec
Samira Rahimi, Charlene H Chu, Roland Grad, Mark Karanofsky, Mylene Arsenault, Charlene E. Ronquillo, Isabelle Vedel, Katherine McGilton, Machelle Wilchesky
The Annals of Family Medicine Jan 2023, 21 (Supplement 1) 3619; DOI: 10.1370/afm.21.s1.3619
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