Cargando…
Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients
Recent health reforms have created incentives for cardiologists and accountable care organizations to participate in value-based care models for heart failure (HF). Accurate risk stratification of HF patients is critical to efficiently deploy interventions aimed at reducing preventable utilization....
Autores principales: | Lewis, Maor, Elad, Guy, Beladev, Moran, Maor, Gal, Radinsky, Kira, Hermann, Dor, Litani, Yoav, Geller, Tal, Pines, Jesse M., Shapiro, Nathan l., Figueroa, Jose F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806727/ https://www.ncbi.nlm.nih.gov/pubmed/33441908 http://dx.doi.org/10.1038/s41598-020-80856-3 |
Ejemplares similares
-
Development of a machine learning algorithm for early detection of opioid use disorder
por: Segal, Zvi, et al.
Publicado: (2020) -
Machine learning algorithm for early detection of end-stage renal disease
por: Segal, Zvi, et al.
Publicado: (2020) -
Non Thermal Irreversible Electroporation: Novel Technology for Vascular Smooth Muscle Cells Ablation
por: Maor, Elad, et al.
Publicado: (2009) -
A principle of organization which facilitates broad Lamarckian-like adaptations by improvisation
por: Soen, Yoav, et al.
Publicado: (2015) -
Waning effectiveness of the third dose of the BNT162b2 mRNA COVID-19 vaccine
por: Patalon, Tal, et al.
Publicado: (2022)