The Application of Classification Algorithm in Biochemical Testing
Xu Kun Peng
2025
Abstract
In today's society, people's living standards have gradually improved, and their health has gradually been paid attention to. In order to better understand the health of the body, physical examination is a very important way, in which biochemical tests can clearly know which part of the body has problems. However, traditional methods cannot see the biochemical test results clearly. Therefore, a classification algorithm is proposed for biochemical test analysis. Firstly, the computer is used to classify and analyze the test results, and the indicators are divided according to the requirements of biochemical tests to reduce biochemical tests in the interfering factor. Then, the computer classifies the results of the biochemical tests in the physical examination, forms a biochemical test plan, and tests the biochemistry The results were comprehensively analyzed. MATLAB simulation shows that under certain evaluation criteria, the classification algorithm has a high impact on the accuracy of biochemical tests in physical examination. The reliability of biochemical tests is better than traditional methods.
DownloadPaper Citation
in Harvard Style
Peng X. (2025). The Application of Classification Algorithm in Biochemical Testing. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 569-573. DOI: 10.5220/0013551200004664
in Bibtex Style
@conference{incoft25,
author={Xu Kun Peng},
title={The Application of Classification Algorithm in Biochemical Testing},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={569-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013551200004664},
isbn={978-989-758-763-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - The Application of Classification Algorithm in Biochemical Testing
SN - 978-989-758-763-4
AU - Peng X.
PY - 2025
SP - 569
EP - 573
DO - 10.5220/0013551200004664
PB - SciTePress