Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients
Sponsored by Chang-Ming Huang, Prof.
About this trial
Last updated 2 years ago
Study ID
2024KY154
Status
Completed
Type
Observational
Placebo
No
Accepting
All Ages
All Sexes
Trial Timing
Ended 2 years ago
What is this trial about?
This multicenter, retrospective cohort study aimed to develop and validate an explainable prediction model for prognosis after gastrectomy in patients with gastric cancer.
What are the participation requirements?
Inclusion Criteria
* Patients diagnosed with primary gastric or gastroesophageal junction cancer
* Underwent radical gastrectomy
* Complete clinical and pathological data available
Exclusion Criteria
* Presence of distant metastases before surgery
* Non-adenocarcinoma histology
* Incomplete follow-up data