Online game addiction diagnosis method and system based on diagnosis classification model

• Main Authors: WANG WEIJUN, LIU QINXUE, LIU SIYANG, GUO XIAORONG, SUN XIAOJUN
• Format: Patent
• Language: Chinese; English
• Published: 25.06.2024
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention belongs to the technical field of mental health assessment and diagnosis, and discloses an online game addiction diagnosis method and system based on a diagnosis classification model, and the method comprises the steps: based on the diagnosis standard of DSM-5 online game obstacles, developing a series of items for reflecting the possible IGD symptoms of an individual; analyzing the items by using a diagnostic classification model (DCM) so as to identify relevance between each item and the IGD symptom and a mode of the relevance between each item and the IGD symptom; psychological measurement attributes, including reliability, validity and factor structure, of the tool are verified through empirical research, and a personalized intervention strategy is developed according to an analysis result of the DCM. According to the method, the diagnosis classification model is used for performing fine-grained symptom analysis, and a new research path is provided for the field of mental health; different o