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Large Language Models for Automatic Deidentification of Electronic Health Record Notes International Workshop, IW-DMRN 2024, Kaohsiung, Taiwan, January 15, 2024, Revised Selected Papers /

This volume constitutes the refereed proceedings of the International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2024, held on January 15, 2024, in Kaohsiung, Taiwan. The 15 full papers were carefully reviewed and selected from 30 submissions. The conference focuses on m...

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Bibliografiska uppgifter
Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Jonnagaddala, Jitendra (Utgivare, redaktör, sammanställare), Dai, Hong-Jie (Utgivare, redaktör, sammanställare), Chen, Ching-Tai (Utgivare, redaktör, sammanställare)
Materialtyp: Elektronisk E-bok
Språk:engelska
Publicerad: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Upplaga:1st ed. 2025.
Serie:Communications in Computer and Information Science, 2148
Ämnen:
Data protection.
Data mining.
Natural language processing (Computer science).
Information technology > Management.
Quantitative research.
Data and Information Security.
Data Mining and Knowledge Discovery.
Natural Language Processing (NLP).
Computer Application in Administrative Data Processing.
Data Analysis and Big Data.
Länkar:https://doi.org/10.1007/978-981-97-7966-6
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Beskrivning
Sammanfattning:This volume constitutes the refereed proceedings of the International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2024, held on January 15, 2024, in Kaohsiung, Taiwan. The 15 full papers were carefully reviewed and selected from 30 submissions. The conference focuses on medical data analysis, enhancing medication safety, and optimizing medical care efficiency.
Fysisk beskrivning:XII, 214 p. 93 illus., 61 illus. in color. online resource.
ISBN:9789819779666
ISSN:1865-0937 ;
DOI:10.1007/978-981-97-7966-6

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