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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Detalles Bibliográficos
Autores principales: Leha, Andreas, Hellenkamp, Kristian, Unsöld, Bernhard, Mushemi-Blake, Sitali, Shah, Ajay M., Hasenfuß, Gerd, Seidler, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814224/
https://www.ncbi.nlm.nih.gov/pubmed/31652290
http://dx.doi.org/10.1371/journal.pone.0224453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814224/
https://www.ncbi.nlm.nih.gov/pubmed/31652290
http://dx.doi.org/10.1371/journal.pone.0224453

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