Effective hospital readmission prediction models using machine-learned features

Effective hospital readmission prediction models using machine-learned features

Abstract Background: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor intensive and dataset-specific. Our objective was to...

Full description

Bibliographic Details
Main Authors: Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister, Raj Padwal
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Health Services Research
Subjects:
Hospitalization
Machine learning
Patient readmission
Area under curve
Online Access:https://doi.org/10.1186/s12913-022-08748-y

Internet

https://doi.org/10.1186/s12913-022-08748-y

Similar Items