The Use of Clinical Language Models Pretrained on Institutional EHR Data for Downstream Tasks-Reference-Cited by-同舟云学术

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The Use of Clinical Language Models Pretrained on Institutional EHR Data for Downstream Tasks

Published:2024-06-19 Issue: Volume: Page:648-655
ISSN:
Container-title:2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)
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Author:

Suvirat Kerdkiat¹,Chairat Sawrawit¹,Horsiritham Kanakorn²,Ingviya Thammasin³,Kongkamol Chanon³,Chaichulee Sitthichok¹

Affiliation:

1. Prince of Songkla University,Faculty of Medicine,Department of Biomedical Sciences and Biomedical Engineering,Songkhla,Thailand

2. College of Digital Science, Prince of Songkla University,Songkhla,Thailand

3. Prince of Songkla University,Faculty of Medicine,Department of Family and Preventive Medicine,Songkhla,Thailand

Funder

Prince of Songkla University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10613603/10613624/10613630.pdf?arnumber=10613630

Reference18 articles.

1. BERT: pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv,2018

2. Universal Language Model Fine-tuning for Text Classification

3. Language models are unsupervised multitask learners;Radford;OpenAI,2019

4. Exploring the limits of transfer learning with a unified text-to-text transformer;Raffel;arXiv,2019

5. Llama: Open and efficient foundation language models;Touvron;arXiv,2023

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