Development of a Machine Learning Model for Survival Risk Stratification of Patients With Advanced Oral Cancer.

ABSTRACT:

Importance

A tool for precisely stratifying postoperative patients with advanced oral cancer is crucial for the treatment plan, such as intensifying or deintensifying the regimen to improve their quality of life and prognosis.

Objective

To develop and validate a machine learning-based algorithm that can provide survival risk stratification for patients with advanced oral cancer who have comprehensive clinicopathologic and genetic data.

Design, setting, and participants

In this prognostic cohort study, the elastic net penalized Cox proportional hazards regression-based risk stratification model was developed and validated using single-center data collected between January 1, 1996, and December 31, 2011. In total, comprehensive clinicopathologic and genetic data (includ

SUBMITTER: Tseng YJ 

PROVIDER: S-EPMC7442932 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature