基于疾病症状权重信息的医疗知识图谱构建
Construction of medical knowledge graph based on symptom weight information of diseases
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| DOI |
10.12208/j.ijcr.20250260 |
| 刊名 |
International Journal of Clinical Research
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| 年，卷(期) |
2025, 9(5) |
| 作者 |
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| 作者单位 |
1 嘉兴职业技术学院互联网学院 浙江嘉兴,2 嘉兴大学生物与化学工程学院 浙江嘉兴
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| 摘要 |
针对互联网医疗信息冗余、真实性存疑及现有知识图谱疾病覆盖局限、症状权重缺失等问题，本研究提出一种融合多源异构数据的医疗知识图谱构建方法。通过整合权威医疗网站半结构化数据与开源医疗知识图谱，设计多阶段构建流程，并引入基于联合搜索频次的疾病-症状动态权重计算方法，最终构建了一个包含疾病症状权重信息的医疗知识图谱。该图谱不仅解决了疾病症状权重关系不明确的问题，还实现了对碎片化医疗信息的有效整合与深度挖掘，为医疗领域的相关研究提供有价值的数据资源。
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| Abstract |
To address the challenges of redundant and unreliable internet-based medical information, as well as the limitations of existing knowledge graphs in disease coverage and symptom weight representation, this study proposes a medical knowledge graph construction method integrating multi-source heterogeneous data. By combining semi-structured data from authoritative medical websites with open-source medical knowledge graphs, a multi-stage construction framework is designed, and an innovative dynamic disease-symptom weight calculation method based on joint search frequency is introduced. The resulting knowledge graph incorporates disease-symptom weight information, resolving ambiguities in symptom-disease relationships while achieving effective integration and in-depth mining of fragmented medical data. This work provides valuable data resources for medical research and clinical decision support.
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| 关键词 |
信息冗余；疾病症状权重；医疗知识图谱
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| KeyWord |
Information redundancy; Disease-symptom weights; Medical knowledge graph
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| 基金项目 |
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| 页码 |
153-157 |
王宁,吴靖,王远,翟文彪,傅新杰*.
基于疾病症状权重信息的医疗知识图谱构建 [J].
国际临床研究杂志.
2025; 9; (5).
153 - 157.