Gastric cancer diagnosis method based on gastric cancer gene target and neural network

The invention relates to a gastric cancer diagnosis method based on a gastric cancer gene target and a neural network, and the method comprises the steps: obtaining gastric cancer samples and common sample data, and carrying out the preprocessing; and establishing a neural network model, and acquiring gene expression condition data of the patient for diagnosis. The method has the beneficial effects that a neural network model taking gene targets INHBA, LYVE1, CD36 and COL10A1 is established, and a low-cost, convenient and low-wound preliminary screening method for gastric cancer is provided, so that the situation that a detected person abandons detection due to high cost, strong trauma and inconvenience of methods such as a gastroscope and the like is reduced, and the treatment opportunity is delayed. 本发明涉及基于胃癌基因靶标与神经网络胃癌诊断方法，包括：获取胃癌样本以及普通样本数据，进行预处理；并建立神经网络模型，获取病人基因表达情况数据进行诊断。本发明的有益效果是：本发明建立以基因靶标INHBA，LYVE1，CD36，和COL10A1的神经网络模型，提出了一种低成本、便利的、低创的胃癌初步筛选的方法，以减少受检测者由于胃镜等方法成本高、创伤性强、不方便而放弃检测导致治疗时机延误的情况。