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A machine learning approach for the prediction of pulmonary hypertension
BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informative variables for predictive tasks. Here, we investigated how ML algorithms may assist in echocardiographic pulmonary hypertension (PH) prediction, where current guidelines recommend integrating seve...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6814224/ https://ncbi.nlm.nih.gov/pubmed/31652290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0224453 |
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