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Machine learning (ML) is ideal for identifying and structuring informative variables for predictive tasks. Here, we investigated how ML algorithms may advance decision making in PH prediction. In our database… Click to show full abstract
Machine learning (ML) is ideal for identifying and structuring informative variables for predictive tasks. Here, we investigated how ML algorithms may advance decision making in PH prediction. In our database of 90 patients with invasively determined pulmonary artery pressure (PAP) with
Keywords:
prediction pulmonary;
machine;
learning approach;
approach prediction;
machine learning;
pulmonary hypertension
Journal Title: Journal of the American College of Cardiology
Year Published: 2019
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Journal Title: Journal of the American College of Cardiology
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!