De-identification of Patient Notes with Recurrent Neural Networks

10 June 2016

Papers citing "De-identification of Patient Notes with Recurrent Neural Networks"

36 / 36 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 14 0 0 22 Apr 2025
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 42 5 0 18 Sep 2024
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs Sanjeet Singh Shreya Gupta Niralee Gupta Naimish Sharma Lokesh Srivastava Vibhu Agarwal Ashutosh Modi 29 0 0 08 Jul 2024
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility Pravneet Kaur Gautam Siddharth Kashyap Ankit Kumar Md. Tabrez Nafis Sandeep Kumar Vikrant Shokeen LM&MA 48 54 0 25 Feb 2024
SAIC: Integration of Speech Anonymization and Identity Classification Ming Cheng Xingjian Diao Shitong Cheng Wenjun Liu 53 6 0 23 Dec 2023
De-identification of clinical free text using natural language processing: A systematic review of current approaches Aleksandar Kovacevic Bojana Bašaragin Nikola Milosevic Goran Nenadic OOD 28 17 0 28 Nov 2023
Grandma Karl is 27 years old -- research agenda for pseudonymization of research data Elena Volodina Simon Dobnik Therese Lindström Tiedemann Xuan-Son Vu 20 4 0 30 Aug 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 28 20 0 14 Jun 2023
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting Xinlu Zhang Shiyang Li Xianjun Yang Chenxin Tian Yao Qin Linda R. Petzold 28 9 0 22 May 2023
Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse X. Tannier Perceval Wajsburt Alice Calliger Basile Dura Alexandre Mouchet M. Hilka R. Bey 29 10 0 23 Mar 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 31 3 0 16 Dec 2022
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents Yakini Tchouka Jean-François Couchot David Laiymani OOD 39 1 0 02 Nov 2022
De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks Yakini Tchouka Jean-François Couchot Maxime Coulmeau David Laiymani Philippe Selles Azzedine Rahmani OOD 22 5 0 16 Sep 2022
Named Entity Recognition for Audio De-Identification Guillaume Baril P. Cardinal Alessandro Lameiras Koerich 24 3 0 26 Apr 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 32 152 0 08 Mar 2022
What Does it Mean for a Language Model to Preserve Privacy? Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr PILM 52 232 0 11 Feb 2022
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization Ildikó Pilán Pierre Lison Lilja Ovrelid Anthia Papadopoulou David Sánchez Montserrat Batet AILaw 37 78 0 25 Jan 2022
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Z Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 21 154 0 07 Jul 2021
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact Zhijing Jin Geeticka Chauhan Brian Tse Mrinmaya Sachan Rada Mihalcea 30 25 0 04 Jun 2021
A Conversational Agent System for Dietary Supplements Use Esha Singh A. Bompelli Ruyuan Wan Jiang Bian Serguei V. S. Pakhomov Rui Zhang ELM 21 5 0 04 Apr 2021
Transferability of Neural Network Clinical De-identification Systems Kahyun Lee Nicholas J. Dobbins Bridget T. McInnes Meliha Yetisgen Özlem Uzuner OOD 31 5 0 17 Feb 2021
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation Xiang Yue Shuang Zhou 23 10 0 11 Oct 2020
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances Kundan Krishna Amy Pavel Benjamin Schloss Jeffrey P. Bigham Zachary Chase Lipton 27 17 0 14 Jul 2020
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature Chaoran Cheng Fei Tan Zhi Wei 23 7 0 05 Jun 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 12 26 0 16 Jan 2020
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records Max Friedrich Arne Köhn Gregor Wiedemann Chris Biemann OOD MedIm 16 26 0 12 Jun 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing Katikapalli Subramanyam Kalyan S. Sangeetha 17 82 0 04 Mar 2019
Automatic Identification of Indicators of Compromise using Neural-Based Sequence Labelling Shengping Zhou Zi Long Lianzhi Tan Hao Guo 11 28 0 24 Oct 2018
A survey of automatic de-identification of longitudinal clinical narratives Vithya Yogarajan Michael Mayo Bernhard Pfahringer OOD 27 15 0 16 Oct 2018
Predicting Individual Physiologically Acceptable States for Discharge from a Pediatric Intensive Care Unit Cameron Carlin L. Ho D. Ledbetter M. Aczon R. Wetzel LM&MA 18 11 0 18 Dec 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B. Shickel P. Tighe A. Bihorac Parisa Rashidi BDL 19 1,094 0 12 Jun 2017
Transfer Learning for Named-Entity Recognition with Neural Networks Ji Young Lee Franck Dernoncourt Peter Szolovits 19 140 0 17 May 2017
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks Franck Dernoncourt Ji Young Lee Peter Szolovits 27 189 0 16 May 2017
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data Jason Alan Fries Sen Wu Alex Ratner Christopher Ré MedIm 31 95 0 20 Apr 2017
Neural Networks for Joint Sentence Classification in Medical Paper Abstracts Franck Dernoncourt Ji Young Lee Peter Szolovits 32 63 0 15 Dec 2016