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Issue title: Special Section: Intelligent Algorithms for Complex Information Services - Recent Advances and Future Trends
Guest editors: Andino Maseleno, Xiaohui Yuan and Valentina E. Balas
Article type: Research Article
Authors: Baojian, Weia; b | Yanmei, Langa | Chunyu, Lia; *
Affiliations: [a] Yanbian University, Yanji, China | [b] Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
Correspondence: [*] Corresponding author. Li Chunyu, Yanbian University, Yanji, China. E-mail: [email protected].
Abstract: Most of the current plans for Alzheimer’s interventions to improve nursing interventions for patients are designed by clinical nurses themselves, which lack a theoretical basis and are not professional enough. Moreover, cognitive training only addresses a single aspect of rehabilitation for patients with cognitive dysfunction, so it lacks integrity. This study combines MRI and image recognition segmentation technology, adopts multi-party combined interventions for nursing rehabilitation, and uses image recognition technology to conduct experimental research. In addition, this study uses a team of doctors, nurses, and rehabilitators to form a team therapy model, which actively echoes the concept of multidisciplinary cooperation and has a solid medical and theoretical basis. The results show that occupational therapy has a significant effect on slowing the deterioration of patients’ cognitive function, improving their daily living ability, and ultimately improving the quality of life of patients.
Keywords: Joint intervention, neuro-cognition, alzheimer’s disease, improvement
DOI: 10.3233/JIFS-179976
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 4, pp. 4903-4911, 2020
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