Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients
NCT06548464 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 18000
Last updated 2024-08-12
Summary
This multicenter, retrospective cohort study aimed to develop and validate an explainable prediction model for prognosis after gastrectomy in patients with gastric cancer.
Conditions
- Stomach Neoplasms
- Gastrectomy
- Machine Learning
Sponsors & Collaborators
-
Chang-Ming Huang, Prof.
lead OTHER
Principal Investigators
-
Chang-Ming Huang, MD · Fujian Medical University Union Hospital
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-06-01
- Primary Completion
- 2024-08-01
- Completion
- 2024-08-06
Countries
- China
Study Locations
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