Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

Abstract 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 util...

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Bibliographic Details
Main Authors: Maor Lewis, Guy Elad, Moran Beladev, Gal Maor, Kira Radinsky, Dor Hermann, Yoav Litani, Tal Geller, Jesse M. Pines, Nathan l. Shapiro, Jose F. Figueroa
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-80856-3

Internet

https://doi.org/10.1038/s41598-020-80856-3

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