Scholarlink

Alzheimer’s disease (AD) is an incurable chronic neurodegenerative disease. If it can be diagnosed early and intervened in time clinically, it can effectively delay the development. However, early diagnosis of AD is difficult and there is still a lack of intelligent diagnosis platforms for AD. In order to solve this problem, we propose an AD intelligent diagnosis platform based on a multimodal knowledge graph. We apply the AD intelligent diagnosis model on the intelligent diagnosis platform, which realizes the early diagnosis of AD based on patient data and gives AD diagnosis advice. We verify the diagnostic model based on Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset. We build a medical knowledge graph based on the current open source medical knowledge database. The experimental results show that the proposed method can be applied to the early diagnosis of AD. Furthermore, it can give appropriate diagnosis advice, which is expected to reduce the burden on doctors and realize the intelligent diagnosis and treatment of AD.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intelligent Diagnosis Platform for Alzheimer’s Disease Based on Multi-modal Knowledge Graph

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Jiaqiang Li,
  • Peng Yang,
  • Jiuwen Cao,
  • Zhenghua Guan,
  • Junlong Qu,
  • Lei Dong,
  • Xueqin Yan,
  • Cuimei Wei,
  • Chunhua Liang,
  • Xiaohua Xiao,
  • Tianfu Wang,
  • Baiying Lei

摘要

Alzheimer’s disease (AD) is an incurable chronic neurodegenerative disease. If it can be diagnosed early and intervened in time clinically, it can effectively delay the development. However, early diagnosis of AD is difficult and there is still a lack of intelligent diagnosis platforms for AD. In order to solve this problem, we propose an AD intelligent diagnosis platform based on a multimodal knowledge graph. We apply the AD intelligent diagnosis model on the intelligent diagnosis platform, which realizes the early diagnosis of AD based on patient data and gives AD diagnosis advice. We verify the diagnostic model based on Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset. We build a medical knowledge graph based on the current open source medical knowledge database. The experimental results show that the proposed method can be applied to the early diagnosis of AD. Furthermore, it can give appropriate diagnosis advice, which is expected to reduce the burden on doctors and realize the intelligent diagnosis and treatment of AD.