A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach

A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach

Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim...

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Main Authors: Paola Argiento, Anna D'Agostino, Rossana Castaldo, Monica Franzese, Matteo Mazzola, Ekkehard Grünig, Lavinia Saldamarco, Valeria Valente, Alessandra Schiavo, Erica Maffei, Davide Lepre, Antonio Cittadini, Eduardo Bossone, Michele D'Alto, Luna Gargani, Alberto Maria Marra
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Machine learning
Pulmonary hypertension
Early diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024004021
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