Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study

BACKGROUND: Readmissions after hospital discharge are a common occurrence and are costly for both hospitals and patients. Previous attempts to create universal risk prediction models for readmission have not met with success. In this study we leveraged a comprehensive electronic health record to cre...

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Detalles Bibliográficos
Autores principales: Hebert, Courtney, Shivade, Chaitanya, Foraker, Randi, Wasserman, Jared, Roth, Caryn, Mekhjian, Hagop, Lemeshow, Stanley, Embi, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136398/
https://www.ncbi.nlm.nih.gov/pubmed/25091637
http://dx.doi.org/10.1186/1472-6947-14-65

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136398/
https://www.ncbi.nlm.nih.gov/pubmed/25091637
http://dx.doi.org/10.1186/1472-6947-14-65

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