Abstract
Patients with severe mental disorders are sudden and aggressive, and the means may be more cruel. The data shows that the number of serious mental disorders is increasing. In order to prevent the occurrence of accidents and disasters in patients with mental illness, active intervention should be carried out to design an early warning and monitoring system for serious mental disorders. By collecting administrative departments of health and family planning at all levels, it is necessary to cooperate with the political and legal, public security, civil affairs, human resources, social security, and the Disabled Persons’ Federation. The established platform information is used to summarize multi-source heterogeneous data. Establish an early warning monitoring model, classify 10 risk factors from four levels, establish a risk factor assessment model, and set up different levels of treatment intervention programs. It is described from the perspectives of design ideas, design principles, and architecture design. The construction of an early warning and monitoring mechanism for serious mental disorders can effectively integrate the high-quality resources of mental health institutions at all levels, guide the rational allocation of resources, improve the management of serious mental disorders, detect the morbidity of patients with mental disorders early, and promptly intervene to reduce the risk of accidents.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, X., Zhao, D., Zhong, W., Ye, J., Gao, F. (2020). Research on Early Warning Monitoring Model of Serious Mental Disorder Based on Multi-source Heterogeneous Data Sources. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-030-51103-6_36
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DOI: https://doi.org/10.1007/978-3-030-51103-6_36
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