Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin and Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial

Gue, Y., Correa, E., Thompson, J. L. P., Homma, S., Qian, M., & Lip, G. Y. H. (2023). Machine Learning Predicting Atrial Fibrillation as an Adverse Event in the Warfarin and Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial. The American Journal of Medicine, 136(11), 1099-1108.e2. https://doi.org/10.1016/j.amjmed.2023.07.019
Authors:
Ying X. Gue
Elon Correa
John L.P. Thompson
Shun Kohsaka
Min Qian
Gregory Y.H. Lip
Affiliated Authors:
John L.P. Thompson
Shun Kohsaka
Min Qian
Columbia Affiliation:
Subjects:
Atrial Fibrillation (MeSH)
Aspirin (MeSH)
Machine Learning (MeSH)
Warfarin (MeSH)
Heart Failure (MeSH)
Anticoagulants (MeSH)
Atrial Fibrillation (OpenAlex Topic)
Molecular Mechanisms of Cardiac Arrhythmias (OpenAlex Topic)
Diagnosis and Treatment of Heart Failure (OpenAlex Topic)
Author Keywords:
atrial fibrillation
heart failure
machine learning
racial disparity
social factors
elink
Publication Type:
Article
Unique ID:
10.1016/j.amjmed.2023.07.019
PMID:
37611780
DOI:
10.1016/j.amjmed.2023.07.019
Journal:
American Journal of Medicine
Publication Date:
Data Source:
OpenAlex
Source Link:
View OpenAlex Record
View PubMed Record
View Scopus Record

Record Created: