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A Study on Self-medication for Health Promotion of the Silver Generation

  • Oh, Soonhwan (Kwangwoon University, Department of Immersive Content Convergence) ;
  • Ryu, Gihwan (Kwangwoon University, Graduate School of Smart Convergence, Institute of Tourism Industry)
  • Received : 2020.10.30
  • Accepted : 2020.12.13
  • Published : 2020.12.31

Abstract

With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.

Keywords

References

  1. A study on the effects of the use of smart phone on the self-esteem of the elderly: focusing the mediating effects of the interpersonal relationship- Lee, Maung Sung, 2015
  2. The Effects of the Physical and Emotional Activities on the Health, Self Perceived Health Status and the Depression of the Elderly- Lee, Mak Dal, 2012
  3. Study about silver generation lifestyle type by HMR selection attribute and on purchasing behavior-Ok-Kyung Ahn, 2017
  4. Study on the Characteristics of Consumption Propensitiesand Eating Behaviors on Dining out as Perceived by Silver Generation: Focused on the Silver Consumers in Seoul - Choi, Mi Sook, 2015
  5. GUO, Huifeng, et al. Deepfm: An end-to-end wide & deep learning framework for CTR prediction. arXiv preprint arXiv:1804.04950, 2018.
  6. Burel, Gregoire, Hassan Saif, and Harith Alani. "Semantic wide and deep learning for detecting crisis-information categories on social media." International Semantic Web Conference. Springer, Cham, 2017.
  7. Seide, Frank, Gang Li, and Dong Yu. "Conversational speech transcription using context-dependent deep neural networks." Twelfth annual conference of the international speech communication association. 2011.
  8. AGARAP, Abien Fred. Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375, 2018.
  9. Ba, Jimmy, and Brendan Frey. "Adaptive dropout for training deep neural networks." Advances in neural information processing systems. 2013.