Spots Global Cancer Trial Database for Predict 5-Year Survival in Elderly Gastric Cancer
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Trial Identification
Brief Title: Predict 5-Year Survival in Elderly Gastric Cancer
Official Title: Machine Learning Models to Predict 5-Year Post-Surgery Survival of Older Gastric Cancer Patients
Study ID: NCT06208046
Interventions
Study Description
Brief 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.
Eligibility
Minimum Age: 65 Years
Eligible Ages: OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Fujian Medical University Union Hospital, Fuzhou, Fujian, China
Contact Details
Name: Huang Chang-Ming, Prof.
Affiliation: Fujian Medical University Union Hospital
Role: PRINCIPAL_INVESTIGATOR
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