A feasibility study on utilizing machine learning technology to reduce the costs of gastric cancer screening in Taizhou, China.

We concluded that gastric cancer screening indicators could be optimized when distinguishing low-risk and moderate to high-risk populations, and detecting gastrin-17 alone can achieve a good discriminative effect, thus saving huge expenditures.