Assessing the Generalizability of a Clinical Machine Learning Model Across Multiple Emergency Departments

OBJECTIVE: To assess the generalizability of a clinical machine learning algorithm across multiple emergency departments (EDs). PATIENTS AND METHODS: We obtained data on all ED visits at our health care system’s largest ED from May 5, 2018, to December 31, 2019. We also obtained data from 3 satellit...

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Detalles Bibliográficos
Autores principales: Ryu, Alexander J., Romero-Brufau, Santiago, Qian, Ray, Heaton, Heather A., Nestler, David M., Ayanian, Shant, Kingsley, Thomas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062323/
https://www.ncbi.nlm.nih.gov/pubmed/35517246
http://dx.doi.org/10.1016/j.mayocpiqo.2022.03.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062323/
https://www.ncbi.nlm.nih.gov/pubmed/35517246
http://dx.doi.org/10.1016/j.mayocpiqo.2022.03.003

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