Examples include constructing gastric cancer survival and neoadjuvant chemotherapy benefit prediction models using support vector machine (SVM)22; predicting early gastric cancer patients’ lymph node metastasis status using decision tree (DT) models23; predicting Chinese gastric cancer patients’ HER2 status using random forest (RF) models24; constructing artificial neural network models for screening and diagnosing non-invasive gastric cancer25; and applying K-nearest neighbors (KNN) algorithms to classify gastric cancer lymph node metastasis26. This evidence concerns the gene ERBB2 and gastric cancer.