The combination of supervised and unsupervised learning based risk stratification and phenotyping in pulmonary arterial hypertension—a long-term retrospective multicenter trial

The combination of supervised and unsupervised learning based risk stratification and phenotyping in pulmonary arterial hypertension—a long-term retrospective multicenter trial

Abstract Background Accurate risk stratification in pulmonary arterial hypertension (PAH), a devastating cardiopulmonary disease, is essential to guide successful therapy. Machine learning may improve risk management and harness clinical variability in PAH. Methods We conducted a long-term retrospec...

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Bibliographic Details
Main Authors: Thomas Sonnweber, Piotr Tymoszuk, Regina Steringer-Mascherbauer, Elisabeth Sigmund, Stephanie Porod-Schneiderbauer, Lisa Kohlbacher, Igor Theurl, Irene Lang, Günter Weiss, Judith Löffler-Ragg
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Pulmonary Medicine
Subjects:
Pulmonary arterial hypertension
Risk assessment
Biomarkers
Mortality
Right-heart failure
Atypical pulmonary arterial hypertension
Online Access:https://doi.org/10.1186/s12890-023-02427-2

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