NCT06208046

Predict 5-Year Survival in Elderly Gastric Cancer

Machine Learning Models to Predict 5-Year Post-Surgery Survival of Older Gastric Cancer Patients

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 2,187 (actual)
• Sponsor: Fujian Medical University · Academic / Other
• Sex: All
• Age: 65 Years
• Healthy volunteers: Not accepted

Summary

In this study, elderly patients with gastric cancer who underwent radical gastrectomy in Union Hospital Affiliated to Fujian Medical University from 2012 to 2018 were included as a derived cohort, and the training set and internal validation set were randomly divided by 4:1. Machine learning strategies of random forest, decision tree and support vector machine are used to construct survival prediction model. Each model was tested in an internal validation set and an external validation set consisting of patients from two other large medical centers.

Detailed description

This is a retrospective, supervised learning, data mining study.

Conditions

• Gastric Cancer
• Machine Learning

Timeline

• Start date: 2023-07-01
• Primary completion: 2024-01-01
• Completion: 2024-01-04
• First posted: 2024-01-17
• Last updated: 2024-01-17

Locations

1 site across 1 country: China