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

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 retrospective ob...

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Detalles Bibliográficos
Autores principales: Sonnweber, Thomas, Tymoszuk, Piotr, Steringer-Mascherbauer, Regina, Sigmund, Elisabeth, Porod-Schneiderbauer, Stephanie, Kohlbacher, Lisa, Theurl, Igor, Lang, Irene, Weiss, Günter, Löffler-Ragg, Judith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131314/
https://www.ncbi.nlm.nih.gov/pubmed/37098543
http://dx.doi.org/10.1186/s12890-023-02427-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131314/
https://www.ncbi.nlm.nih.gov/pubmed/37098543
http://dx.doi.org/10.1186/s12890-023-02427-2

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