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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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| Publicat a: | JACC Cardiovasc Imaging |
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| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | 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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