Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

Many areas of medicine would benefit from deeper, more accurate phenotyping, but there are limited approaches for phenotyping using clinical notes without substantial annotated data. Large language models (LLMs) have demonstrated immense potential to adapt to novel tasks with no additional training...

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Detalles Bibliográficos
Autores principales: Alsentzer, Emily, Rasmussen, Matthew J., Fontoura, Romy, Cull, Alexis L., Beaulieu-Jones, Brett, Gray, Kathryn J., Bates, David W., Kovacheva, Vesela P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689487/
https://www.ncbi.nlm.nih.gov/pubmed/38036723
http://dx.doi.org/10.1038/s41746-023-00957-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689487/
https://www.ncbi.nlm.nih.gov/pubmed/38036723
http://dx.doi.org/10.1038/s41746-023-00957-x

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