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Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2023.1044openalex-snapshot
Appropriateness of Cardiovascular Disease Prevention Recommendations Obtained From a Popular Online Chat-Based Artificial Intelligence Model
inferredcites →https://doi.org/10.1002/asi.21090openalex-snapshot
NERA: Named Entity Recognition for Arabic
inferredcites →https://doi.org/10.1016/j.cmpbup.2021.100024openalex-snapshot
Cohort selection for construction of a clinical natural language processing corpus
inferredcites →https://doi.org/10.1016/j.csl.2022.101449openalex-snapshot
A code-mixed task-oriented dialog dataset for medical domain
inferredcites →https://doi.org/10.1016/j.ijmedinf.2010.09.007openalex-snapshot
The MITRE Identification Scrubber Toolkit: Design, training, and assessment
inferredcites →https://doi.org/10.1016/j.jad.2019.09.044openalex-snapshot
Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records
inferredcites →https://doi.org/10.1016/j.jbi.2015.06.007openalex-snapshot
Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1
inferredcites →https://doi.org/10.1016/j.jbi.2017.06.011openalex-snapshot
De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1
inferredcites →https://doi.org/10.1016/j.resuscitation.2023.109783openalex-snapshot
ChatGPT can pass the AHA exams: Open-ended questions outperform multiple-choice format
inferredcites →https://doi.org/10.1038/s41598-020-75544-1openalex-snapshot
De-identification of electronic health record using neural network
inferredcites →https://doi.org/10.1038/s41598-021-99554-9openalex-snapshot
The OpenDeID corpus for patient de-identification
inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot
MIMIC-III, a freely accessible critical care database
inferredcites →https://doi.org/10.1093/jamia/ocw156openalex-snapshot
De-identification of patient notes with recurrent neural networks
inferredcites →https://doi.org/10.1097/ccm.0b013e31820a92c6openalex-snapshot
Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*
inferredcites →https://doi.org/10.1109/access.2020.3030468openalex-snapshot
Fine-Tuning BERT for Multi-Label Sentiment Analysis in Unbalanced Code-Switching Text
inferredcites →https://doi.org/10.1109/access.2022.3148396openalex-snapshot
Principle-Based Approach for the De-Identification of Code-Mixed Electronic Health Records
inferredcites →https://doi.org/10.1109/access.2022.3157854openalex-snapshot
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?
inferredcites →https://doi.org/10.1109/cic.2005.1588104openalex-snapshot
De-identification algorithm for free-text nursing notes
inferredcites →https://doi.org/10.1109/iccv.2015.11openalex-snapshot
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
inferredcites →https://doi.org/10.1109/icip40778.2020.9191097openalex-snapshot
Opencc – an open Benchmark data set for Corpus Callosum Segmentation and Evaluation
inferredcites →https://doi.org/10.1109/services.2019.00082openalex-snapshot
A Big Data Architecture for the Extraction and Analysis of EHR Data
inferredcites →https://doi.org/10.1109/taslp.2023.3316422openalex-snapshot
Boosting Short Text Classification by Solving the OOV Problem
inferredcites →https://doi.org/10.1136/amiajnl-2012-001020openalex-snapshot
BoB, a best-of-breed automated text de-identification system for VHA clinical documents
inferredcites →https://doi.org/10.1145/182.358434openalex-snapshot
Maintaining knowledge about temporal intervals
inferredcites →https://doi.org/10.1145/3560815openalex-snapshot
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.11613/bm.2012.031openalex-snapshot
Interrater reliability: the kappa statistic
inferredcites →https://doi.org/10.1186/1472-6947-8-32openalex-snapshot
Automated de-identification of free-text medical records
inferredcites →https://doi.org/10.1197/jamia.m2444openalex-snapshot
Evaluating the State-of-the-Art in Automatic De-identification
inferredcites →https://doi.org/10.1201/9781420000177-42openalex-snapshot
Standards for Privacy of Individually Identifiable Health Information
inferredcites →https://doi.org/10.14569/ijacsa.2021.0121177openalex-snapshot
Normalisation of Indonesian-English Code-Mixed Text and its Effect on Emotion Classification
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.592openalex-snapshot
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
inferredcites →https://doi.org/10.18653/v1/d18-1407openalex-snapshot
Pathologies of Neural Models Make Interpretations Difficult
inferredcites →https://doi.org/10.18653/v1/p19-1493openalex-snapshot
How Multilingual is Multilingual BERT?
inferredcites →https://doi.org/10.18653/v1/w15-4322openalex-snapshot
Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations
inferredcites →https://doi.org/10.18653/v1/w18-3219openalex-snapshot
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
inferredcites →https://doi.org/10.18653/v1/w18-3220openalex-snapshot
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
inferredcites →https://doi.org/10.2307/3736717openalex-snapshot
Code Switching in Conversation: Language, Interaction and Identity
inferredcites →https://doi.org/10.2307/417240openalex-snapshot
Code-switching in conversation: Language, interaction and identity . Ed. by Peter Auer. London & New York: Routledge, 1998. Pp. viii, 355.
inferredcites →https://doi.org/10.3233/shti220153openalex-snapshot
Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in Taiwan
inferredcites →https://doi.org/10.3389/fpsyt.2020.533949openalex-snapshot
Deep Learning-Based Natural Language Processing for Screening Psychiatric Patients
inferredcites →https://doi.org/10.53555//jlls.5272openalex-snapshot
Journal of Language and Linguistic Studies
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-97-7966-6_12openalex-snapshot
A Deep Dive into the Application of Pythia for Enhancing Medical Information De-identification in the AI CUP 2023
inferred← citeshttps://doi.org/10.1007/978-981-97-7966-6_3openalex-snapshot
A Comparative Study of GPT3.5 Fine Tuning and Rule-Based Approaches for De-identification and Normalization of Sensitive Health Information in Electronic Medical Record Notes
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Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
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inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2025.106225openalex-snapshot
De-identification of clinical data: A systematic review of free text, image and tabular data approaches
inferred← citeshttps://doi.org/10.1038/s41746-025-01921-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1136/bmjhci-2025-101894openalex-snapshot
Benchmarking large language models for de-identification of electronic health record notes
inferred← citeshttps://doi.org/10.2196/60501openalex-snapshot
Prompt Engineering Paradigms for Medical Applications: Scoping Review
inferred← citeshttps://doi.org/10.2196/94454openalex-snapshot
Two-Stage Extraction of Clinical Course Information From Psychiatric Discharge Summaries Using Fine-Tuned Large Language Models: Cross-Validation Study
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inferred← citeshttps://doi.org/10.3389/fmed.2026.1762586openalex-snapshot
Multimodal natural language processing in ophthalmology: bridging clinical text and medical imaging
inferred← citeshttps://doi.org/10.3390/drones9080524openalex-snapshot
Research on the Design of a Priority-Based Multi-Stage Emergency Material Scheduling System for Drone Coordination
inferred← citeshttps://doi.org/10.3390/j9030022openalex-snapshot
Clinical Text De-Identification Beyond PHI Detection: A Scoping Review
inferred← citeshttps://doi.org/10.59681/2175-4411.v17.2025.1227openalex-snapshot
Anonimização de textos médicos com processamento de linguagem natural
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