Predicting stroke and mortality in mitral stenosis with atrial flutter: A machine learning approach

BACKGROUND: Our study hypothesized that an intelligent gradient boosting machine (GBM) model can predict cerebrovascular events and all‐cause mortality in mitral stenosis (MS) with atrial flutter (AFL) by recognizing comorbidities, electrocardiographic and echocardiographic parameters. METHODS: The...

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Detalles Bibliográficos
Autores principales: Rauf, Amer, Ullah, Asif, Rathi, Usha, Ashfaq, Zainab, Ullah, Hidayat, Ashraf, Amna, Kumar, Jateesh, Faraz, Maria, Akhtar, Waheed, Mehmoodi, Amin, Malik, Jahanzeb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475890/
https://www.ncbi.nlm.nih.gov/pubmed/37545120
http://dx.doi.org/10.1111/anec.13078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475890/
https://www.ncbi.nlm.nih.gov/pubmed/37545120
http://dx.doi.org/10.1111/anec.13078

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