Affiliation:
1. Yanbian University, Yanji, China
2. Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
3. School of Mechanical Electrical and Information Engineering, China University of Mining and Technology Beijing Campus, Beijing 100083, China
Abstract
In order to explore the relationship between intelligent image recognition technology and the mentality and quality of life of the elderly, this paper combines intelligent image simulation technology to identify the behavior of the elderly, protect the safety of the elderly, and provide timely feedback on the adverse conditions of the elderly. Moreover, this paper improves the traditional intelligent image recognition algorithm, verifies the research method of this paper through experimental research, and puts forward corresponding suggestions. Through investigation and research, we can see that the level of health literacy of elderly patients with chronic diseases is low. Therefore, in the future health education, we should strengthen health education for elderly patients with chronic diseases, use different mass media to propagate health knowledge, and promote the formation of healthy lifestyles and behaviors for elderly patients with chronic diseases. At the same time, the experiment also verified that the intelligent image recognition technology proposed in this paper has a positive effect in improving the mentality and quality of life of the elderly.
Subject
Radiology, Nuclear Medicine and imaging
Cited by
4 articles.
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