A natural language processing approach to support biomedical data harmonization: Leveraging large language models
Saved in:
| Main Authors: | Zexu Li, Suraj P. Prabhu, Zachary T. Popp, Shubhi S. Jain, Vijetha Balakundi, Ting Fang Alvin Ang, Rhoda Au, Jinying Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12289046/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A natural language processing approach to support biomedical data harmonization: Leveraging large language models.
by: Zexu Li, et al.
Published: (2025-01-01) -
Benchmarking large language models for biomedical natural language processing applications and recommendations
by: Qingyu Chen, et al.
Published: (2025-04-01) -
Leveraging large language models for spelling correction in Turkish
by: Ceren Guzel Turhan
Published: (2025-06-01) -
Leveraging large language models for automated depression screening
by: Bazen Gashaw Teferra, et al.
Published: (2025-07-01) -
Leveraging large language models for data analysis automation.
by: Jacqueline A Jansen, et al.
Published: (2025-01-01)