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Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis Cover

Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis

International Journal of Applied Mathematics and Computer Science
Volume 34 (2024): Issue 4 (December 2024)
By: Weimin Zhang,  Luyao Zhou,  Min Shao,  Cui Wang and  Yu Wang  
Open Access
|Dec 2024

Authors

Weimin Zhang

School of Biomedical Engineering Anhui Medical University Tanghe Road, China

Luyao Zhou

School of Biomedical Engineering Anhui Medical University Tanghe Road, China

Min Shao

Department of Critical Care Medicine First Affiliated Hospital of Anhui Medical University Jixi Road, China

Cui Wang

Department of Critical Care Medicine First Affiliated Hospital of Anhui Medical University Jixi Road, China

Yu Wang

wangyu@ahmu.edu.cn

School of Biomedical Engineering Anhui Medical University Tanghe Road, China
DOI: https://doi.org/10.61822/amcs-2024-0036 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 535 - 548
Submitted on: Feb 7, 2024
Accepted on: Aug 30, 2024
Published on: Dec 25, 2024
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
sepsis diagnosis,
text representation,
pre-trained language models,
machine learning.
Related subjects:
Mathematics,
Applied mathematics

© 2024 Weimin Zhang, Luyao Zhou, Min Shao, Cui Wang, Yu Wang, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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