The invention provides an NSCLC patient postoperative short-period recurrence metastasis risk evaluating system which comprises a preprocessing module, a characteristic extracting module, an AI network cluster risk evaluating module and an ANFIS network integrated risk evaluating module. The preprocessing module is used for collecting and preprocessing multidimensional patient clinical data. The multidimensional patient clinical data comprise patient preoperative CT radiomics data, tumor histopathology data and tumor clinical. The characteristic extracting module is used for extracting the characteristic of the data sample after preprocessing. The AI network cluster risk evaluating module is used for performing recurrence risk probability evaluation on the extracted sample characteristic.The ANFIS network integrated risk evaluating module is used for using a recurrence risk probability evaluation result as an input characteristic vector, establishes an ANFIS network, uses a recurrence/metastasis risk quantification probability and dangerous degree as the output, and performs final integrated risk evaluation. The system can supply a reference for selecting a radial curing postoperative comprehensive treatment plan by a lung cancer patient and has high predicting accuracy.