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Survival Quilts of Gastric Cancer

Use the Survival Quilts to model and predict the survival curve of Gastric Cancer, and validate models by the China National Cancer Center Gastric Cancer database.

Thesis information

  • Title: Application of Survival Quilts for prognosis prediction of gastrectomy patients based on the Surveillance, Epidemiology, and End Results (SEER) database and China National Cancer Center Gastric Cancer (NCCGC) database
  • Authors: Lulu Zhao, Penghui Niu, Wanqing Wang, Xue Han, Xiaoyi Luan, Dongbing Zhao, Jidong Gao, Yingtai Chen

Description of the code

This code shows a simple example of the Survival Quilts on SEER/NCCGC dataset.

  • Code/: The source code implementation of Survival Quilts, and the training and testing process of the model.
  • Dataset/: The dataset files are stored in this path, and the training set and test set are divided according to the ratio of 8:2. In addition, data from the China National Cancer Center are not available.
  • Results/Models: The training model files are stored in this folder. These models are too large to upload. If necessary, contact the author to obtain.
  • environment.yaml: Conda environment information. Using the command conda env create -n <env_name> -f environment.yaml to import conda environment information.
  • Tutorial.ipynb: Give an example of the use process of code and the validation results of four models on SEER/NCC datasets.

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