| 基于乳腺癌专病库的知识图谱构建研究 |
| 修订日期：2023-11-21 点此下载全文 |
| 引用本文：靳淑雁,王爽,黄琼,等.基于乳腺癌专病库的知识图谱构建研究[J].医学信息学杂志,2023,44(12):65-70 |
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| 基金项目:广东省医学科学技术研究基金项目(项目编号:C2021106)；广东省深圳市基础研究专项(自然科学基金)面上项目(项目编号:JCYJ20210324134405016)；广东省深圳市卫生经济学会科研基金项目(项目编号:202331)。 |
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| 中文摘要:目的/意义 创建乳腺癌知识图谱的本体模型,实现乳腺癌知识的结构化表达和可视化展示。方法/过程 对乳腺癌知识进行抽取和表示,利用Protégé软件创建乳腺癌知识图谱本体模型。模型包含患者、患者基本信息、检查、诊断、检查实体属性值5类实体,以及具有、检查、诊断、属于等10余种关系。结果/结论 乳腺癌知识的图形化展示有助于提高公众对乳腺癌的关注和了解,对乳腺癌的预防与健康管理具有积极作用。 |
| 中文关键词:专病库 乳腺癌 本体构建 医学知识图谱 人工智能 |
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| Study on the Construction of Knowledge Graph Based on Breast Cancer Specialized Disease Database |
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| Abstract:Purpose/Significance To construct the ontology model of breast cancer knowledge graph, and to realize the structured expression and visual display of breast cancer knowledge. Method/Processs Breast cancer knowledge is extracted and represented, and the ontology model of breast cancer knowledge graph is constructed by Protégé software. The model includes 5 types of entities including patient, basic information of patient, inspection, diagnosis and attribute value of inspection, and more than 10 kinds of relationships such as having, examining, diagnosing, belonging and so on. Result/Conclusion The graphical display of breast cancer knowledge helps to improve the public’s attention and understanding of breast cancer, and has a positive effect on the prevention and health management of breast cancer. |
| keywords:specialized disease database breast cancer ontology construction medical knowledge graph artificial intelligence |
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