Unsupervised learning algorithm is used to group the laboratory test items of 105 patients with depression, the grouping model is applied to 88 test data sets and statistical methods are used to verify the grouping results. The final results show that the differences between most groups are statistically significant, and mental diseases have a certain impact on laboratory test items.