A Machine Learning Methodology for Identification and Triage of Heart Failure Exacerbations

ABSTRACT: Inadequate at-home management and self-awareness of heart failure (HF) exacerbations are known to be leading causes of the greater than 1 million estimated HF-related hospitalizations in the USA alone. Most current at-home HF management protocols include paper guidelines or exploratory hea...

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Detalles Bibliográficos
Autores principales: Morrill, James, Qirko, Klajdi, Kelly, Jacob, Ambrosy, Andrew, Toro, Botros, Smith, Ted, Wysham, Nicholas, Fudim, Marat, Swaminathan, Sumanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397870/
https://www.ncbi.nlm.nih.gov/pubmed/34453676
http://dx.doi.org/10.1007/s12265-021-10151-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397870/
https://www.ncbi.nlm.nih.gov/pubmed/34453676
http://dx.doi.org/10.1007/s12265-021-10151-7

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