Prediction model of gastrointestinal tumor malignancy based on coagulation indicators such as TEG and neural networks

Prediction model of gastrointestinal tumor malignancy based on coagulation indicators such as TEG and neural networks

ObjectivesAccurate determination of gastrointestinal tumor malignancy is a crucial focus of clinical research. Constructing coagulation index models using big data is feasible to achieve this goal. This study builds various prediction models through machine learning methods based on the different co...

Full description

Saved in:
Bibliographic Details
Main Authors: Fulong Yu, Chudi Sun, Liang Li, Xiaoyu Yu, Shumin Shen, Hao Qiang, Song Wang, Xianghua Li, Lin Zhang, Zhining Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Immunology
Subjects:
TEG
machine learning
predictive models
gastric cancer
colorectal cancer
coagulation indicators
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1507773/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2025.1507773/full

Similar Items