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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...
Autores principales: | Davis, Sacha, Zhang, Jin, Lee, Ilbin, Rezaei, Mostafa, Greiner, Russell, McAlister, Finlay A., Padwal, Raj |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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