Predicting Survival from Large Echocardiography and Electronic Health Record Datasets: Optimization with Machine Learning

OBJECTIVES: Use machine learning to more accurately predict survival after echocardiography. BACKGROUND: Predicting patient outcomes (e.g. survival) following echocardiography is primarily based on ejection fraction (EF) and comorbidities. However, there may be significant predictive information wit...

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Gepubliceerd in:JACC Cardiovasc Imaging
Hoofdauteurs: Samad, Manar D, Ulloa, Alvaro, Wehner, Gregory J, Linyuan, Jing, Hartzel, Dustin, Good, Christopher W, Williams, Brent A., Haggerty, Christopher M, Fornwalt, Brandon K
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2018
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6286869/
https://ncbi.nlm.nih.gov/pubmed/29909114
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jcmg.2018.04.026
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