Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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An analysis of the Correlation Between Clinical Characteristics and Staging in Patients with Liver Cirrhosis

Authors
Xinbo Zhao1, *
1College of Intelligent Science and Engineering, Yunnan Techonlogy and Business University, KunMing, 650000, China
*Corresponding author. Email: 19619500028@ytbu.edu.cn
Corresponding Author
Xinbo Zhao
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_68How to use a DOI?
Keywords
Liver cirrhosis; clinical features; blood test indexes; disease staging; correlation analysis
Abstract

Cirrhosis is the terminal manifestation of chronic liver disease, and serious complications often accompany patients. The correlation analysis of clinical characteristics and stages is very important for disease management. Clarifying the correlation between clinical characteristics and stages of liver cirrhosis patients will help develop personalized treatment plans and improve patients' quality of life. This study aims to explore the clinical characteristics of patients with cirrhosis and the relationship between the clinical characteristics and disease stages. Through the analysis of relevant samples, the stage of cirrhosis can be confirmed and predicted. This study uses three prediction methods, decision tree, random forest, and logistic regression, to analyze the relationship between liver cirrhosis stage and related blood parameters. These blood test indicators include age, bilirubin, cholesterol, albumin, copper, alkaline phosphatase, SGOT, triglyceride, platelet, and prothrombin time. The study finds that there are significant differences between these indicators in different stages of cirrhosis, which provides clinicians with useful information on the progress and treatment of cirrhosis.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_68How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xinbo Zhao
PY  - 2024
DA  - 2024/09/23
TI  - An analysis of the Correlation Between Clinical Characteristics and Staging in Patients with Liver Cirrhosis
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 645
EP  - 655
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_68
DO  - 10.2991/978-94-6463-512-6_68
ID  - Zhao2024
ER  -