| abstract |
The present invention provides a brain disease classification method, device and user terminal, wherein the method comprises: constructing a multi-time point brain functional connection network by fusing a sparse network model; Longitudinal analysis of early and late mild cognitive impairment samples in the brain functional connectivity network to obtain multi-time-point features; the multi-time-point features are fused by similarity fusion method, and the multi-time-point features are fused through support vector machine The model completes the classification. Compared with the prior art, the classification method provided by the present invention has stronger data validity and high classification accuracy, and can accurately diagnose the brain disease of the subject. |