Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying machine learning-based clinical decision support systems. Algorithms that learn robust models by estimating invariant properties across time periods for domain generalization (DG) and unsupervised domain...

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Detalles Bibliográficos
Autores principales: Guo, Lin Lawrence, Pfohl, Stephen R., Fries, Jason, Johnson, Alistair E. W., Posada, Jose, Aftandilian, Catherine, Shah, Nigam, Sung, Lillian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854561/
https://www.ncbi.nlm.nih.gov/pubmed/35177653
http://dx.doi.org/10.1038/s41598-022-06484-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854561/
https://www.ncbi.nlm.nih.gov/pubmed/35177653
http://dx.doi.org/10.1038/s41598-022-06484-1

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