Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study.
Saved in:
| Title: | Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study. |
|---|---|
| Authors: | Dorémus, Océane1 (AUTHOR) oceane.doremus@u-bordeaux.fr, Russon, Dylan1 (AUTHOR), Contrand, Benjamin1 (AUTHOR), Guerra-Adames, Ariel1,2 (AUTHOR), Avalos-Fernandez, Marta2 (AUTHOR), Gil-Jardiné, Cédric1,3 (AUTHOR), Lagarde, Emmanuel1 (AUTHOR) |
| Source: | JMIR AI. 2025, Vol. 4, p1-16. 16p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!