Building an intelligent diabetes Q&A system with knowledge graphs and large language models.

Journal: Frontiers in public health
PMID: 40051508

Abstract

INTRODUCTION: This paper introduces an intelligent question-answering system designed to deliver personalized medical information to diabetic patients. By integrating large language models with knowledge graphs, the system aims to provide more accurate and contextually relevant medical guidance, addressing the limitations of traditional healthcare systems in handling complex medical queries.

Authors

  • Zhenkai Qin
    College of Information Technology, Guangxi Police College, Nanning,China.
  • Dongze Wu
    School of Information Technology, Guangxi Police College, Nanning, China.
  • Zhidong Zang
    School of Social Development, Yangzhou University, Yangzhou, China.
  • Xiaolong Chen
    Department of Orthopedics & Elderly Spinal Surgery, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
  • Hongfeng Zhang
    Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China.
  • Cora Un In Wong
    Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China.

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