Data Mining in Cognitive Function Training of Depression Patients Applications

Objective: To study how to use virtual reality technology (VR) to improve the cognitive function of depressive patients. This study explored the process of the diagnosis, training and evaluation of cognitive impairment in patients with depression, and provided new training methods and research ideas for improving cognitive impairment and prognosis of patients with depression. Methods: 30 mild to moderate depression subjects were randomly assigned to the experimental group, and 32 mild to moderate depression subjects were randomly assigned to the control group. The subjects in the experimental group were trained and treated with immersion virtual reality system for six months, while the subjects in the control group did not receive any treatment. MoCA scale and corresponding diagnostic criteria were used to assess the cognitive baseline level before treatment and the cognitive improvement after treatment. Result: The subjects in this study had mild to moderate depression, and the depression was similar in different genders, professions and groups. Before the cognitive training, there was no difference in the scores of MoCA scale between the experimental group and the control group, t = 0.2, P = 0.84. After the cognitive training, there was a significant difference in the scores of MoCA scale between the experimental group and the control group, t = 4.36, P = 0.00. This shows that the cognitive function training and treatment based on VR technology can effectively improve the cognitive level of depressive patients. Conclusion: Using virtual reality technology to train the cognitive ability of mild to moderate depression subjects can significantly improve the cognitive ability of the subjects, which is worthy of clinical application and promotion.