Development of a Voice-Interactive Chatbot for Personalized Health Management Using a Lifestyle Recommendation Knowledge Base.

Journal: Studies in health technology and informatics
Published Date: May 15, 2025

Abstract

This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated medical literature. By leveraging 17 key health variables, the chatbot addresses approximately 150 million potential health scenarios, offering advice for personal health management. The system developed as an Android application, represents the initial phase of a broader project aimed at delivering evidence-based health management services. Future advancements will focus on replacing the current knowledge base with a knowledge graph and integrating large language models (LLMs) to enable more natural and contextual conversations in healthcare.

Authors

  • Sungjae Jung
    Department of Biomedical Engineering, Seoul National University Hospital, Seoul, Korea.
  • Siun Kim
    Department of Applied Biomedical Engineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea; Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
  • ByeongYeop Yoo
    Smart Health City Lab, Seoul, Korea.
  • Minseon Park
    Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.
  • Hyung-Jin Yoon
    Department of Human Systems Medicine, Seoul National University College of Medicine, Seoul, Korea.

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