Construction of early dyslipidemia index model for nasopharyngeal carcinoma based on laboratory information management system

Yong Feng; Juan Feng

doi:10.1117/12.2659379

30 November 2022 Construction of early dyslipidemia index model for nasopharyngeal carcinoma based on laboratory information management system

Yong Feng, Juan Feng

Author Affiliations +

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245614 (2022) https://doi.org/10.1117/12.2659379
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

The prevalence of nasopharyngeal carcinoma is the first in otolaryngology head and neck malignancies. The location of the disease is hidden, and most patients are already in the advanced stage of cancer when they are found. In order to explore the construction of an index model of early dyslipidemia in patients with nasopharyngeal carcinoma, this study used the laboratory information management system to obtain a large amount of blood test data and used statistical software to conduct correlation analysis with healthy people. Through the analysis, a dyslipidemia index model belonging to the early screening of nasopharyngeal carcinoma can be gradually constructed. In this study, 55 patients with nasopharyngeal carcinoma who visited a doctor at the same time were selected as the experimental group, and 1244 people with physical examination were selected as the control group. The study found that the serum total cholesterol, triglyceride, and high-density lipoprotein of patients with nasopharyngeal carcinoma were significantly lower than those of healthy people. Serum total cholesterol, triglyceride, and high-density lipoprotein can be used as basic data for early dyslipidemia index model in patients with nasopharyngeal carcinoma. In this study, a screening model of early blood lipid metabolism indicators in nasopharyngeal carcinoma patients was constructed by means of the blood test data stored in the laboratory information management system, which provided a theoretical reference for the early screening of nasopharyngeal carcinoma patients.

Citation Download Citation

Yong Feng and Juan Feng "Construction of early dyslipidemia index model for nasopharyngeal carcinoma based on laboratory information management system", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245614 (30 November 2022); https://doi.org/10.1117/12.2659379

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KEYWORDS

Tumor growth modeling

Blood

Statistical analysis

Data modeling

Cancer

Analytical research

Mode conditioning cables

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