Machine learning in prediction of individual patient readmissions for elective carotid endarterectomy, aortofemoral bypass/aortic aneurysm repair, and femoral-distal arterial bypass

OBJECTIVE: Early hospital readmissions have been rising and are increasingly used for public reporting and pay-for-performance. The readmission problem is fundamentally different in surgical patients compared with medical patients. There is an opportunity to intervene preoperatively to decrease the...

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Detalles Bibliográficos
Autores principales: Amato, Alexandre Campos Moraes, dos Santos, Ricardo Virgínio, Saucedo, Dumitriu Zunino, Amato, Salvador José de Toledo Arruda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036506/
https://www.ncbi.nlm.nih.gov/pubmed/32128209
http://dx.doi.org/10.1177/2050312120909057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036506/
https://www.ncbi.nlm.nih.gov/pubmed/32128209
http://dx.doi.org/10.1177/2050312120909057

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