A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation

3 October 2018

Papers citing "A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation"

7 / 7 papers shown

Title
Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes Guanchen Wu Linzhi Zheng Han Xie Zhen Xiang Jiaying Lu Darren Liu Delgersuren Bold Bo-wen Li Xiao Hu Carl Yang 16 0 0 22 Apr 2025
Can Zero-Shot Commercial APIs Deliver Regulatory-Grade Clinical Text DeIdentification? Veysel Kocaman Muhammed Santas Yigit Gul Mehmet Butgul D. Talby 46 0 0 21 Mar 2025
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation Xiang Yue Shuang Zhou 23 10 0 11 Oct 2020
Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT Aitor García-Pablos Naiara Pérez Montse Cuadros 37 34 0 06 Mar 2020
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records Jan Trienes D. Trieschnigg C. Seifert D. Hiemstra 24 26 0 16 Jan 2020
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 36 19 0 19 Sep 2019
Publicly Available Clinical BERT Embeddings Emily Alsentzer John R. Murphy Willie Boag W. Weng Di Jin Tristan Naumann Matthew B. A. McDermott AI4MH 48 1,932 0 06 Apr 2019