DOI QR코드

DOI QR Code

언택트 기술 환경에서의 지능형 헬스 어드바이저 모델 접근 방안

An Approach of Cognitive Health Advisor Model for Untact Technology Environment

  • 황태호 (가천대학교 컴퓨터공학과) ;
  • 이강윤 (가천대학교 컴퓨터공학과)
  • 투고 : 2020.08.05
  • 심사 : 2020.08.25
  • 발행 : 2020.08.30

초록

4차산업혁명 시대에 인공지능 API에 기반한 정보의 활용은 산업과 생활에 많은 영향을 주고 있다. 특히, 의료분야에서 인공지능을 이용한 데이터 활용은 사회에 많은 변화와 영향을 미칠 것이다. 이 논문은 "Cognitive Health Advisor model(CHA model)"을 구현하기 위하여 필요한 구성요소를 연구하고, 이를 기반으로 "chatbot 이용한 CHA model"을 구현하는데 있다. 개방형 Cognitive 챗봇을 이용하여 일상 생활에서 변화되는 사용자의 건강상태를 파악하고 분석하고 생체센서와 챗봇 상담으로 분석한 사용자의 건강정보는 챗봇을 통하여 사용자에게 정보를 전달하여 사용자의 건강증진을 위한 교육정보를 제공하는 지능형 헬스 어드바이저 모델을 구현한다. 이 구현을 통하여 향후 활용 가능성을 확인하고 연구방향을 제시하고자 한다.

In the era of the 4th Industrial Revolution, the use of information based on AI APIs has a great influence on industry and life. In particular, the use of artificial intelligence data in the medical field will have many changes and effects on society. This paper is to study the necessary components to implement the "Cognitive Health Advisor model (CHA model)" and to implement the "CHA model using chatbot" based on this. It uses the open Cognitive chatbot to analyze and analyze the health status of users changing in their daily lives. The user's health information analyzed by the biometric sensor and chatbot consultation delivers the information to the user through the chatbot. And it implements a cognitive health advisor model that provides educational information for users' health promotion. Through this implementation, it intends to confirm the possibility of future use and to suggest research directions.

키워드

참고문헌

  1. K. Lee and N. Ha, "AI platform to accelerate API economy and ecosystem," 2018 International Conference on Information Networking (ICOIN), Chiang Mai, 2018, pp. 848-852.
  2. The Relationship between Alzheimer's Disease and Diabetes: Type 3 Diabetes Kroner, "Alternative Medicine Review" Vol. 14, Issue 4, Pages 373-379, December 2009
  3. A.Lymberis, "Smart wearable systems for personalised health management: current R&D and future challenges," Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicineand Biology Society (IEEE Cat. No.03CH37439), Vol.4, pp.3716-3719, 2003
  4. A. Lmberis and A. Dittmar, "Advanced Wearable Health Systems and Applications - Research and Development Efforts in the European Union," in IEEE Engineering in Medicine andBiology Magazine, vol. 26, no. 3, pp. 29-33, May-June 2007
  5. Fabrice Axisa, P. M. Schmitt, C. Gehin, G. Delhomme, E. McAdams and A. Dittmar, "Flexible technologies and smart clothing for citizen medicine, home healthcare, and disease prevention," in IEEE Transactionson Information Technology in Biomedicine, vol. 9, no. 3,pp. 325-336, Sept. 2005 https://doi.org/10.1109/TITB.2005.854505
  6. 김성근, 신민철, 강주영. (2018). 챗봇기술소개및 사례분석. 정보와통신열린강좌, 35(2(별책8호)), 21-28.
  7. S.K. Kim, M.C. Sin, J.Y. Kang, "Chatbot technology introduction and case analysis", Korea information & communication society, 35-2-8 P21-28, 2018.
  8. Chung, K., Park, R.C. Chatbot-based heathcare service with a knowledge base for cloud computing. Cluster Comput 22, 1925-1937, 2019 https://doi.org/10.1007/s10586-018-2334-5
  9. K.Y. Lee, Reference Model and Architecture of Interactive Cognitive Health Advisor based on Evolutional Cyber-physical Systems :KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS Vol. 13, no. 8, Aug. 2019
  10. Lee, E., The past, present and future of cyber-physical systems: A focus on models. Sensors, 15(3): pp.4837-4869. https://doi.org/10.3390/s150304837
  11. Muller, H.A., The Rise of Intelligent Cyber-Physical Systems. Computer, pp. 7-9, 2017(12)