Cargando…
Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study
BACKGROUND: Heart failure (HF) is highly prevalent in the United States. Approximately one-third to one-half of HF cases are categorized as HF with reduced ejection fraction (HFrEF). Patients with HFrEF are at risk of worsening HF, have a high risk of adverse outcomes, and experience higher health c...
Autores principales: | Ru, Boshu, Tan, Xi, Liu, Yu, Kannapur, Kartik, Ramanan, Dheepan, Kessler, Garin, Lautsch, Dominik, Fonarow, Gregg |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152335/ https://www.ncbi.nlm.nih.gov/pubmed/37067873 http://dx.doi.org/10.2196/41775 |
Ejemplares similares
-
Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction
por: Wang, Zhibo, et al.
Publicado: (2021) -
Budget Impact Analysis of Vericiguat for the Treatment of Chronic Heart Failure with Reduced Ejection Fraction Following a Worsening Event
por: Alsumali, Adnan, et al.
Publicado: (2021) -
Cost Effectiveness of Vericiguat for the Treatment of Chronic Heart Failure with Reduced Ejection Fraction Following a Worsening Heart Failure Event from a US Medicare Perspective
por: Alsumali, Adnan, et al.
Publicado: (2021) -
In‐Hospital Worsening Heart Failure and Associations With Mortality, Readmission, and Healthcare Utilization
por: DeVore, Adam D., et al.
Publicado: (2014) -
Global Benefit of SGLT2 Inhibitors in Heart Failure With Reduced Ejection Fraction
por: Brownell, Nicholas K., et al.
Publicado: (2022)