DOI QR코드

DOI QR Code

A Study on the Development of a Chatbot Using Generative AI to Provide Diets for Diabetic Patients

  • Ha-eun LEE (Dept. of Medical IT, Eulji University) ;
  • Jun Woo CHOI (Dept. of Medical IT, Eulji University) ;
  • Sung Lyul PARK (LG Uplus corporation) ;
  • Min Soo KANG (Medical Intelligence Information Center, Eulji University)
  • Received : 2024.04.16
  • Accepted : 2024.09.05
  • Published : 2024.09.30

Abstract

The purpose of this study is to develop a sophisticated web-based artificial intelligence chatbot system designed to provide personalized dietary service for diabetic patients. According to a 2022 study, the prevalence of diabetes among individuals over 30 years old was 15.6% in 2020, identifying it as a significant societal issue with an increasing patient population. This study uses generative AI algorithms to tailor dietary recommendations for the elderly and various social classes, contributing to the maintenance of healthy eating habits and disease prevention. Through meticulous fine-tuning, the learning loss of the AI model was significantly reduced, nearing zero, demonstrating the chatbot's potential to offer precise dietary suggestions based on calorie intake and seasonal variations. As this technology adapts to diverse health conditions, ongoing research is crucial to enhance the accessibility of dietary information for the elderly, thereby promoting healthy eating practices and supporting disease prevention.

Keywords

References

  1. A Monthly Diabetes Magazine. (2006). Monthly Diabetes, pp. 8-11.
  2. Ahn, Y., Bae, J.-H., & Kim, H.-S. (2014). Development of a web-based u-Health self-nutrition management program for diabetic patients. Korean Journal of Community Nutrition, 19(4), 372-385.
  3. Bae, J. H., Han, K. D., Ko, S. H., Yang, Y. S., Choi, J. H., Choi, K. M., ... & Won, K. C. (2022). Diabetes fact sheet in Korea 2021. Diabetes & Metabolism Journal, 46(3), 417.
  4. Cho, Kyung Sook. (2021). Current Status of Non-communicable Diseases in the Republic of Korea. Public Health Weekly Report 2021;14:166-177.
  5. Current Status of the Prevalence of Hypertension, 2021. Public Health Weekly Report 2023;16:560-561. https://doi.org/10.56786/PHWR.2023.16.18.
  6. Jeong, Y.-H. (2013). Analysis of complex chronic diseases in the elderly: Focused on outpatient services. Health & Welfare Issue & Focus, 196, 1-8.
  7. Kang, G.-J., Noh, S.-Y., Ryu, H.-S., Lee, H.-S., & Choi, S.-S. (2011). Easy to learn nutritional assessment. Soomunsa.
  8. Kim, M.-S., Jo, J.-G., Lee, G.-N., Kim, I.-N., Kim, M.-Y., Choi, D.-J., ... & Yoo, J.-S. (2018). Design and implementation of a chatbot system for smart stores. Proceedings of the Korea Communications Conference, 1569-1570.
  9. Korean Diabetes Association. (n.d.). Daily required calories. Retrieved from https://www.diabetes.or.kr/general/dietary/dietary_02.php?con=2
  10. Lee, S. (2023). Exploring the possibility of using ChatGPT-3.5 as a tool in the data collection and analysis stage of the product design process. Journal of Integrated Design Research, 22(2), 23-36.
  11. Lee, Y.-H., Kim, J.-H. Kim, J.-K. Min, K.-P. Jung, E.-Y. & Park, D.-K. (2010). "Smart Phone based Personalized Menu Management System for Diabetes Patient," The Journal of the Korea Contents Association, 10(12).
  12. Lee, Y.-H., Kim, J.-H., Kim, J.-K., Min, K.-P., Jung, E.-Y., & Park, D.-K. (2010). A personalized diet management system for diabetes patients based on smartphones. The Journal of the Korea Contents Association, 10(12), 1-9.