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PhoBERT: Application in Disease Classification based on Vietnamese Symptom Analysis Cover

PhoBERT: Application in Disease Classification based on Vietnamese Symptom Analysis

Applied Computer Systems
Volume 28 (2023): Issue 1 (June 2023)
By: Hai Thanh Nguyen,  Tuyet Ngoc Huynh,  Nhi Thien Ngoc Mai,  Khoa Dang Dang Le and  Pham Thi-Ngoc-Diem  
Open Access
|Aug 2023

Authors

Hai Thanh Nguyen

nthai.cit@ctu.edu.vn

College of Information and Communication Technology, Can Tho University, Can Tho, Vietnam

Tuyet Ngoc Huynh

hngoctuyet031001@gmail.com

College of Information and Communication Technology, Can Tho University, Can Tho, Vietnam

Nhi Thien Ngoc Mai

mnthiennhi.0710@gmail.com

College of Information and Communication Technology, Can Tho University, Can Tho, Vietnam

Khoa Dang Dang Le

khoaldd.tgg@vnpt.vn

Information Technology Centre (Area 5), Vietnam Posts and Telecommunications Group, Tien Giang, Vietnam

Pham Thi-Ngoc-Diem

ptndiem@ctu.edu.vn

College of Information and Communication Technology, Can Tho University, Can Tho, Vietnam
DOI: https://doi.org/10.2478/acss-2023-0004 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 35 - 43
Published on: Aug 17, 2023
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
1D-convolutional neural networks,
bag of words,
long short-term memory,
PhoBERT,
symptoms,
text classification
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2023 Hai Thanh Nguyen, Tuyet Ngoc Huynh, Nhi Thien Ngoc Mai, Khoa Dang Dang Le, Pham Thi-Ngoc-Diem, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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