Machine learning to differentiate pulmonary hypertension due to left heart disease from pulmonary arterial hypertension.

Katleen SwinnenKenneth VerstraeteClaudia BarattoLaura HardyMaarten De VosMarko TopalovicGuido Claessen Rozenn QuarckCatharina BelgeJean-Luc VachieryWim Janssens Marion Delcroix

Published in: ERJ open research (2023)

ML significantly improves the sensitivity of PH-LHD prediction at 100% specificity. Such a model may substantially reduce the number of patients referred for invasive diagnostics without missing PAH diagnoses.

Keyphrases

pulmonary hypertension
pulmonary arterial hypertension
pulmonary artery
machine learning
end stage renal disease
newly diagnosed
ejection fraction
prognostic factors
patient reported outcomes
deep learning
structural basis