Performance Drift in a Mortality Prediction Algorithm during the SARS-CoV-2 Pandemic

RESEARCH OBJECTIVE: Health systems use clinical predictive algorithms to allocate resources to high-risk patients. Such algorithms are trained using historical data and are later implemented in clinical settings. During this implementation period, predictive algorithms are prone to performance chang...

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Detalles Bibliográficos
Autores principales: Parikh, Ravi B., Zhang, Yichen, Chivers, Corey, Courtright, Katherine R., Zhu, Jingsan, Hearn, Caleb M., Navathe, Amol S., Chen, Jinbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902871/
https://www.ncbi.nlm.nih.gov/pubmed/35262088
http://dx.doi.org/10.1101/2022.02.28.22270996

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902871/
https://www.ncbi.nlm.nih.gov/pubmed/35262088
http://dx.doi.org/10.1101/2022.02.28.22270996

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