Cargando…
Practical development and operationalization of a 12-hour hospital census prediction algorithm
Hospital census prediction has well-described implications for efficient hospital resource utilization, and recent issues with hospital crowding due to CoVID-19 have emphasized the importance of this task. Our team has been leading an institutional effort to develop machine-learning models that can...
Autores principales: | Ryu, Alexander J, Romero-Brufau, Santiago, Shahraki, Narges, Zhang, Jiawei, Qian, Ray, Kingsley, Thomas C |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344501/ https://www.ncbi.nlm.nih.gov/pubmed/34151986 http://dx.doi.org/10.1093/jamia/ocab089 |
Ejemplares similares
-
Assessing the Generalizability of a Clinical Machine Learning Model Across Multiple Emergency Departments
por: Ryu, Alexander J., et al.
Publicado: (2022) -
Census Bulletin, No. 12
Publicado: (1890) -
Operationalizing and automating Data Governance
por: Nadal, Sergi, et al.
Publicado: (2022) -
Sodium Content in Packaged Foods by Census Division in the United States, 2009
por: Lee, Alexandra K., et al.
Publicado: (2015) -
The fifth vital sign? Nurse worry predicts inpatient deterioration within 24 hours
por: Romero-Brufau, Santiago, et al.
Publicado: (2019)