Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries

AIMS: Prediction models for outcomes in atrial fibrillation (AF) are used to guide treatment. While regression models have been the analytic standard for prediction modelling, machine learning (ML) has been promoted as a potentially superior methodology. We compared the performance of ML and regress...

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Detalhes bibliográficos
Publicado no:Europace
Main Authors: Loring, Zak, Mehrotra, Suchit, Piccini, Jonathan P, Camm, John, Carlson, David, Fonarow, Gregg C, Fox, Keith A A, Peterson, Eric D, Pieper, Karen, Kakkar, Ajay K
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Clinical Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7657384/
https://ncbi.nlm.nih.gov/pubmed/32879969
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/europace/euaa172
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