Taking account of the influence of different features on the grouping accuracy,the charactesistic selection and optimal experiment were performed by adopting the logistic regression analysis method,and the grouping comparison of the common peripheral lung cancer was carried out by methods of neural network and support vector machine.During the experiments,the application of both the neural network and the support vector Machine methods was adopted,and also the two methods in the application of lung cancer grouping were compared.The experimental results prove that under condition of small sample,the support vector machine method has a stronger generalizability than the neural network method.