Machine learning facilitates the prediction of long-term mortality in patients with tricuspid regurgitation

OBJECTIVE: Tricuspid regurgitation (TR) is a prevalent valve disease associated with significant morbidity and mortality. We aimed to apply machine learning (ML) to assess risk stratification in patients with ≥moderate TR. METHODS: Patients with ≥moderate TR on echocardiogram between January 2005 an...

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Detalles Bibliográficos
Autores principales: Deb, Brototo, Scott, Christopher, Pislaru, Sorin V, Nkomo, Vuyisile T, Kane, Garvan Christopher, Alkhouli, Mohamad, Crestanello, Juan A, Arruda-Olson, Adelaide, Pellikka, Patricia A, Anand, Vidhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Valvular Heart Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685925/
https://www.ncbi.nlm.nih.gov/pubmed/38011995
http://dx.doi.org/10.1136/openhrt-2023-002417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685925/
https://www.ncbi.nlm.nih.gov/pubmed/38011995
http://dx.doi.org/10.1136/openhrt-2023-002417

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