Stable clinical risk prediction against distribution shift in electronic health records

The availability of large-scale electronic health record datasets has led to the development of artificial intelligence (AI) methods for clinical risk prediction that help improve patient care. However, existing studies have shown that AI models suffer from severe performance decay after several yea...

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Detalles Bibliográficos
Autores principales: Lee, Seungyeon, Yin, Changchang, Zhang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499849/
https://www.ncbi.nlm.nih.gov/pubmed/37720334
http://dx.doi.org/10.1016/j.patter.2023.100828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499849/
https://www.ncbi.nlm.nih.gov/pubmed/37720334
http://dx.doi.org/10.1016/j.patter.2023.100828

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