Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech 2025 International | 23.28 MB
Title: Large Language Models for Automatic Deidentification of Sensitive Health Information in Clinical Speech 2025 International
Author: Jitendra Jonnagaddala, Hong-Jie Dai, Ching-Tai Chen, Yung-Chung Chang, Hui-Hsien Feng
Category: Nonfiction, Computers, Application Software, Business Software, Database Management, General Computing
Language: English | 138 Pages | ISBN: 9789819222827
Description:
This volume constitutes the refereed proceedings of the 2025 International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2025, held in Taipei, Taiwan, during August 10, 2025.
The 9 full papers were included in this were carefully reviewed and selected from 25 submissions. They focus on the foundational requirement for enabling the safe, scalable, and ethical secondary use of healthcare data. Clinical documentation and patient-clinician communications.
This volume constitutes the refereed proceedings of the 2025 International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2025, held in Taipei, Taiwan, during August 10, 2025.
The 9 full papers were included in this were carefully reviewed and selected from 25 submissions. They focus on the foundational requirement for enabling the safe, scalable, and ethical secondary use of healthcare data. Clinical documentation and patient-clinician communications.
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