Machine learning prediction models for different stages of non-small cell lung cancer based on tongue and tumor marker: a pilot study.

ABSTRACT:

Objective

To analyze the tongue feature of NSCLC at different stages, as well as the correlation between tongue feature and tumor marker, and investigate the feasibility of establishing prediction models for NSCLC at different stages based on tongue feature and tumor marker.

Methods

Tongue images were collected from non-advanced NSCLC patients (n = 109) and advanced NSCLC patients (n = 110), analyzed the tongue images to obtain tongue feature, and analyzed the correlation between tongue feature and tumor marker in different stages of NSCLC. On this basis, six classifiers, decision tree, logistic regression, SVM, random forest, naive bayes, and neural network, were used to establish prediction models for different stages of NSCLC based on tongue feature and tumor marker.

R

SUBMITTER: Shi Y 

PROVIDER: S-EPMC10542664 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature