Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare-Reference-Cited by-同舟云学术

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Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare

Published:2023-06-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)
language:
Short-container-title:

Author:

Kraljevic Zeljko¹,Shek Anthony¹,Yeung Joshua Au²,Sheldon Ewart Jonathan³,Shuaib Haris⁴,Al-Agil Mohammad³,Bai Xi⁵,Noor Kawsar⁵,Shah Anoop D.⁵,Dobson Richard¹,Teo James²

Affiliation:

1. King’s College London,Biostatistics and Health Informatics, IoPPN,London,United Kingdom

2. King’s College Hospital,Department of Neurology,London,United Kingdom

3. King’s College Hospital,Precision Medicine,London,United Kingdom

4. Guy’s and St Thomas’ NHS Foundation Trust,London,United Kingdom

5. University College London,Institute of Health Informatics,London,United Kingdom

Funder

National Institutes of Health

Health

Health Research

Heart Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336927/10336922/10337202.pdf?arnumber=10337202

Reference15 articles.

1. Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes

2. Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents

3. Automated de-identification of free-text medical records

4. An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice

5. De-identification of electronic health record using neural network

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1. Development of a natural language processing pipeline for assessment of cardiovascular risk in myeloproliferative neoplasms;HemaSphere;2024-08

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