Construction of an early screening model for blood indexes in patients with esophageal malignant tumor based on LIS information system

Yong Feng; Xiuli Qiao

doi:10.1117/12.2659646

30 November 2022 Construction of an early screening model for blood indexes in patients with esophageal malignant tumor based on LIS information system

Yong Feng, Xiuli Qiao

Author Affiliations +

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 1245615 (2022) https://doi.org/10.1117/12.2659646
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

Esophageal malignant tumor is one of the common digestive system malignant tumors. It is difficult to detect early, and there are great individual differences. In order to further explore the differences in blood indexes between patients with esophageal malignant tumors and healthy people, this study used the LIS information system to collect a large number of blood test data for statistical analysis. In this study, 346 patients with esophageal malignant tumors who visited a doctor at the same time were selected as the experimental group, and 906 people with physical examination were selected as the control group. The study found that serum albumin, fasting blood glucose, total cholesterol, triglyceride, high-density lipoprotein and other blood test indicators of patients with esophageal malignant tumor were significantly different from those of healthy people. The above blood test indicators can build an early screening model for esophageal malignant tumors. This study uses the medical health data stored in the LIS information system to verify the differences in blood indicators between patients with esophageal malignant tumors and healthy people, and establish a digital model for early screening of patients with esophageal cancer, which is conducive to rapid and accurate early screening of esophageal cancer. Provide reference for early detection and timely treatment of esophageal cancer.

Citation Download Citation

Yong Feng and Xiuli Qiao "Construction of an early screening model for blood indexes in patients with esophageal malignant tumor based on LIS information system", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 1245615 (30 November 2022); https://doi.org/10.1117/12.2659646

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Cancer

Blood

Tumors

Tumor growth modeling

Analytical research

Lithium

Statistical analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years