De-identification of clinical free text using natural language processing: A systematic review of current approaches

28 November 2023

Papers citing "De-identification of clinical free text using natural language processing: A systematic review of current approaches"

6 / 6 papers shown

Title
DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data Angel Paul Dhivin Shaji Lifeng Han Warren Del-Pinto Goran Nenadic OOD 24 0 0 02 Oct 2024
Synthetic4Health: Generating Annotated Synthetic Clinical Letters Libo Ren Samuel Belkadi Lifeng Han Warren Del-Pinto Goran Nenadic SyDa 32 1 0 14 Sep 2024
Conversational Disease Diagnosis via External Planner-Controlled Large Language Models Zhoujian Sun Cheng Luo Ziyi Liu Zheng-Wei Huang LM&MA 35 3 0 04 Apr 2024
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts Milos Kosprdic Nikola Prodanović Adela Ljajić Bojana Bašaragin Nikola Milosevic MedIm 13 5 0 05 May 2023
A Context-Enhanced De-identification System Kahyun Lee M. Kayaalp Sam Henry Özlem Uzuner 39 3 0 17 Feb 2021
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models Leibo Liu O. Perez-Concha Anthony N. Nguyen Vicki Bennett Louisa R Jorm 4 9 0 01 Jan 2021