Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models
Artificial intelligence (AI) is reshaping modern healthcare by advancing disease diagnosis, treatment decision-making, and biomedical research. Among AI technol...
Abstract
Artificial intelligence (AI) is reshaping modern healthcare by advancing disease diagnosis, treatment decision-making, and biomedical research. Among AI technologies, large language models (LLMs) have become especially impactful, enabling deep knowledge extraction and semantic reasoning from complex medical texts. However, effective clinical decision support requires knowledge in structured, interoperable formats. Knowledge graphs serve this role by integrating heterogeneous medical information into semantically consistent networks. Yet, current clinical knowledge graphs still depend heavily on manual curation and rule-based extraction, which is limited by the complexity and contextual ambiguity of medical guidelines and literature. To overcome these challenges, we propose an automated framework that combines retrieval-augmented generation (RAG) with LLMs to construct medical indicator knowledge graphs. The framework incorporates guideline-driven data acquisition, ontology-based schema design, and expert-in-the-loop validation to ensure scalability, accuracy, and clinical reliability. The resulting knowledge graphs can be integrated into intelligent diagnosis and question-answering systems, accelerating the development of AI-driven healthcare solutions.
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Citation
Zhengda Wang. "Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models." arXiv preprint. 2025-11-17. http://arxiv.org/abs/2511.13526v1
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References
- [1]ResearchCredibility: 9/10Zhengda Wang. "Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models." arXiv.org. November 17, 2025. Accessed November 18, 2025.
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Original Source
This article is based on Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Models (arXiv.org)
