Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy

BACKGROUND: Current approaches fail to separate patients at high versus low risk for ventricular arrhythmias owing to overreliance on a snapshot left ventricular ejection fraction measure. We used statistical machine learning to identify important cardiac imaging and time‐varying risk predictors. ME...

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Bibliografische gegevens
Gepubliceerd in:J Am Heart Assoc
Hoofdauteurs: Wu, Katherine C., Wongvibulsin, Shannon, Tao, Susumu, Ashikaga, Hiroshi, Stillabower, Michael, Dickfeld, Timm M., Marine, Joseph E., Weiss, Robert G., Tomaselli, Gordon F., Zeger, Scott L.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley and Sons Inc. 2020
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Original Research
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7763383/
https://ncbi.nlm.nih.gov/pubmed/33023350
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/JAHA.120.017002
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