A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

This study is the first to use machine learning algorithms to develop a predictive model for the efficacy of first-line immunochemotherapy in AGC, and to identify key predictors of treatment outcome. The results indicate that the RSF model not only enables precise stratification of patients likely to benefit but, more importantly, provides quantifiable decision support for individualized clinical strategies, underscoring its potential value in clinical decision-making.