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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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Bibliographic Details
Published in:PLoS One
Main Authors: Leha, Andreas, Hellenkamp, Kristian, Unsöld, Bernhard, Mushemi-Blake, Sitali, Shah, Ajay M., Hasenfuß, Gerd, Seidler, Tim
Format: Artigo
Language:Inglês
Published: Public Library of Science 2019
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Online Access: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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