Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is thought to be highly prevalent yet remains underdiagnosed. Evidence-based treatments are available that increase quality of life and decrease hospitalization. We sought to develop a data-driven diagnostic model to predict from ele...

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Detalles Bibliográficos
Autores principales: Farajidavar, Nazli, O’Gallagher, Kevin, Bean, Daniel, Nabeebaccus, Adam, Zakeri, Rosita, Bromage, Daniel, Kraljevic, Zeljko, Teo, James T. H., Dobson, Richard J., Shah, Ajay M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791783/
https://www.ncbi.nlm.nih.gov/pubmed/36567336
http://dx.doi.org/10.1186/s12872-022-03005-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791783/
https://www.ncbi.nlm.nih.gov/pubmed/36567336
http://dx.doi.org/10.1186/s12872-022-03005-w

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