Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume

IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource allocation and represents an opportunity to improve patient safety at periods of elevated risk. OBJECTIVE: To determine the performance of a new time-series machine learning method for forecasting hospi...

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Detalles Bibliográficos
Autores principales: McCoy, Thomas H., Pellegrini, Amelia M., Perlis, Roy H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2018
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324591/
https://www.ncbi.nlm.nih.gov/pubmed/30646340
http://dx.doi.org/10.1001/jamanetworkopen.2018.4087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324591/
https://www.ncbi.nlm.nih.gov/pubmed/30646340
http://dx.doi.org/10.1001/jamanetworkopen.2018.4087

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