Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model
Seo Hyun Oh, Min Kang, Youngho Lee
Healthc Inform Res. 2022;28(1):16-24. Published online 2022 Jan 31 DOI: https://doi.org/10.4258/hir.2022.28.1.16
|
Citations to this article as recorded by
Transformer-Based Named Entity Recognition in Construction Supply Chain Risk Management in Australia
Milad Baghalzadeh Shishehgarkhaneh, Robert C. Moehler, Yihai Fang, Amer A. Hijazi, Hamed Aboutorab
IEEE Access.2024; 12: 41829. CrossRef Using automated methods to detect safety problems with health information technology: a scoping review
Didi Surian, Ying Wang, Enrico Coiera, Farah Magrabi
Journal of the American Medical Informatics Association.2023; 30(2): 382. CrossRef Can a Novel Natural Language Processing Model and Artificial Intelligence Automatically Generate Billing Codes From Spine Surgical Operative Notes?
Bashar Zaidat, Justin Tang, Varun Arvind, Eric A. Geng, Brian Cho, Akiro H. Duey, Calista Dominy, Kiehyun D. Riew, Samuel K. Cho, Jun S. Kim
Global Spine Journal.2023; : 219256822311649. CrossRef Local discriminative graph convolutional networks for text classification
Bolin Wang, Yuanyuan Sun, Yonghe Chu, Changrong Min, Zhihao Yang, Hongfei Lin
Multimedia Systems.2023; 29(4): 2363. CrossRef Artificially Intelligent Billing in Spine Surgery: An Analysis of a Large Language Model
Bashar Zaidat, Yash S. Lahoti, Alexander Yu, Kareem S. Mohamed, Samuel K. Cho, Jun S. Kim
Global Spine Journal.2023;[Epub] CrossRef Deep learning-based methods for natural hazard named entity recognition
Junlin Sun, Yanrong Liu, Jing Cui, Handong He
Scientific Reports.2022;[Epub] CrossRef
|