Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/54580, first published
.
![An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study](https://asset.jmir.pub/assets/595dbc3a765693679944d5fd43f2f270.png 480w,https://asset.jmir.pub/assets/595dbc3a765693679944d5fd43f2f270.png 960w,https://asset.jmir.pub/assets/595dbc3a765693679944d5fd43f2f270.png 1920w,https://asset.jmir.pub/assets/595dbc3a765693679944d5fd43f2f270.png 2500w)
1 BGI Research, Wuhan, China
2 Guangdong Bigdata Engineering Technology Research Center for Life Sciences, BGI Research, Shenzhen, China
3 Department of Obstetrics, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
*these authors contributed equally