GC_NC-Res

This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF method.

Random forest model for GC diagnosis

We develop a Random forest model for GC diagnosis. You can get more details in GC_RandomForest directory.

Predict the survival outcomes of GC patient using RSF method

This part includes custom codes to predict the survival outcomes of GC patients. We built a prediction model by using Random Survival Forests (RSF) method.

Citation

Finally: We'd love to hear from you. Please let us know if you have any comments or suggestions, or if you have questions about the code or the procedure. Thanks for your interest:)