Effective hospital readmission prediction models using machine-learned features

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 develop...

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Detalles Bibliográficos
Autores principales: Davis, Sacha, Zhang, Jin, Lee, Ilbin, Rezaei, Mostafa, Greiner, Russell, McAlister, Finlay A., Padwal, Raj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700920/
https://www.ncbi.nlm.nih.gov/pubmed/36434628
http://dx.doi.org/10.1186/s12913-022-08748-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700920/
https://www.ncbi.nlm.nih.gov/pubmed/36434628
http://dx.doi.org/10.1186/s12913-022-08748-y

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