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数据分析与知识发现  2022, Vol. 6 Issue (9): 125-137     https://doi.org/10.11925/infotech.2096-3467.2021.1178
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于复杂网络的医学语义关联研究*
张军亮1,2(),方雪梅1,张帆2,刘喜文2,朱鹏3
1新乡医学院管理学院 新乡 453003
2新乡医学院卫生信息资源研究中心 新乡 453003
3南京理工大学经济管理学院 南京 210094
Analyzing Medical Semantic Association with Complex Network
Zhang Junliang1,2(),Fang Xuemei1,Zhang Fan2,Liu Xiwen2,Zhu Peng3
1School of Management, Xinxiang Medical University, Xinxiang 453003, China
2Center for Health Information Resources, Xinxiang Medical University, Xinxiang 453003, China
3School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
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摘要 

【目的】 运用复杂网络理论和技术构建语义关联网络,研究医学语义关联。【方法】 以医学语义概念为复杂网络节点,语义关联为边,构建医学语义关联网络,并分析其网络特征和语义社区,同时运用深度学习进行语义概念向量化和语义聚类分析。【结果】 将PubMed中MEDLINE的Coronavirus文献作为数据集,构建包含43个节点和877条边的医学语义关联网络,对网络特征、语义社区和语义聚类进行验证和可视化展示。【局限】 实验数据较少。【结论】 语义关联网络可以有效表达医学概念间的语义关联,为医学知识发现服务提供参考。

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张军亮
方雪梅
张帆
刘喜文
朱鹏
关键词 语义关联复杂网络语义关联网络语义社区语义聚类    
Abstract

[Objective] This paper aims to study medical semantic association with the help of complex network. [Methods] First, we constructed a medical semantic association network using the medical semantic concepts as nodes and semantic associations as edges. Then, we analyzed the network characteristics and semantic community. Finally, we created vectors for the semantic concepts and conducted semantic clustering analysis with the neural network. [Results] We retrieved relevant literature on “coronavirus” from MEDLINE of PubMed and built a semantic association network with 43 nodes and 877 edges. Then, we visualized the network characteristics, semantic community and semantic clusters. [Limitations] The experimental data size needs to be expanded. [Conclusions] The proposed network effectively describes the semantic association among medical concepts and benefits medical knowledge discovery services.

Key wordsSemantic Association    Complex Network    Semantic Association Network    Semantic Community    Semantic Clustering
收稿日期: 2021-10-15      出版日期: 2022-10-26
ZTFLH:  TP393  
基金资助:*国家社会科学基金一般项目(21BTQ051);国家社会科学基金青年项目(17CTQ026);国家自然科学基金面上项目(72174087)
通讯作者: 张军亮,ORCID:0000-0002-3678-8691     E-mail: junliangzhang2000@163.com
引用本文:   
张军亮, 方雪梅, 张帆, 刘喜文, 朱鹏. 基于复杂网络的医学语义关联研究*[J]. 数据分析与知识发现, 2022, 6(9): 125-137.
Zhang Junliang, Fang Xuemei, Zhang Fan, Liu Xiwen, Zhu Peng. Analyzing Medical Semantic Association with Complex Network. Data Analysis and Knowledge Discovery, 2022, 6(9): 125-137.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2021.1178      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2022/V6/I9/125
Fig.1  基于复杂网络的医学语义关联流程
主题词 中文 频次 主题词 中文 频次
Animals 动物 5 390 Viral Vaccines 病毒疫苗 724
Humans 人类 4 109 Reverse Transcriptase
Polymerase Chain Reaction
逆转录聚合酶链反应 719
Coronavirus Infections 冠状病毒感染 3 376 Viral Proteins 病毒蛋白质类 713
SARS Virus SARS病毒 2 868 Murine hepatitis virus 鼠肝炎病毒 706
Severe Acute Respiratory Syndrome SARS 1 805 Cercopithecus aethiops 黑长尾猴 697
Coronavirus 冠状病毒 1 533 Membrane Glycoproteins 膜糖蛋白类 683
Female 女(雌)性 1 501 Chickens 678
Mice 大鼠 1 318 Vero Cells Vero细胞 642
Male 男(雄)性 1 272 Adult 成年人 624
Antibodies, Viral 抗体,病毒 1 146 Genome, Viral 基因组, 病毒 620
Molecular Sequence Data 分子序列数据 1 100 Porcine epidemic diarrhea virus 猪流行性腹泻病毒 612
Spike Glycoprotein, Coronavirus 刺突糖蛋白, 冠状病毒 1 055 Poultry Diseases 家禽疾病 611
RNA, Viral RNA, 病毒 1 054 Swine Diseases 猪疾病 559
Cell Line 细胞系 967 Base Sequence 碱基序列 556
Middle East Respiratory Syndrome
Coronavirus
中东呼吸综合征冠状病毒 944 Antiviral Agents 抗病毒药 552
Phylogeny 种系发生 923 Middle Aged 中年人 521
Infectious bronchitis virus 传染性支气管炎病毒 914 Sequence Analysis, DNA 序列分析, DNA 458
Swine 882 Nucleocapsid Proteins 核壳蛋白质类 442
Viral Envelope Proteins 病毒包膜蛋白质类 820 China 中国 432
Virus Replication 病毒复制 807 Enzyme-Linked
Immunosorbent Assay
酶联免疫吸附测定 425
Amino Acid Sequence 氨基酸序列 767 Mice, Inbred BALB C 小鼠, 近交BALB C 415
Disease Outbreaks 疾病暴发流行 731
Table 1  Coronavirus研究的高频主题词
Fig.2  Coronavirus的语义关联网络
节点 DC CC BC PR 节点 DC CC BC PR
Murine Hepatitis Virus 0.88 0.91 1.17 0.02 Cell Line 0.98 1.00 1.18 0.02
Infectious Bronchitis Virus 0.88 0.91 1.11 0.02 Viral Envelope Proteins 0.98 1.00 1.20 0.02
Phylogeny 0.98 1.00 1.18 0.02 Virus Replication 0.98 1.00 1.15 0.02
SARS Virus 0.98 1.00 1.14 0.02 Genome, Viral 0.98 1.00 1.12 0.02
Poultry Diseases 0.84 0.88 1.18 0.02 Nucleocapsid Proteins 0.98 1.00 1.03 0.02
Severe Acute Respiratory Syndrome 0.95 0.98 1.15 0.02 China 0.95 0.98 1.03 0.02
Mice 0.98 1.00 1.20 0.02 Reverse Transcriptase Polymerase Chain Reaction 0.98 1.00 1.03 0.02
Adult 0.84 0.88 1.17 0.02 Enzyme-Linked Immunosorbent Assay 0.98 1.00 1.03 0.02
Swine Diseases 0.84 0.88 1.14 0.02 Molecular Sequence Data 0.98 1.00 1.00 0.02
Swine 0.93 0.95 1.18 0.02 Antibodies, Viral 0.98 1.00 1.00 0.02
Chickens 0.86 0.89 1.12 0.02 Female 0.98 1.00 1.15 0.02
Viral Vaccines 0.98 1.00 1.12 0.02 Male 0.98 1.00 1.05 0.02
Disease Outbreaks 0.98 1.00 1.11 0.02 Coronavirus 0.98 1.00 1.03 0.02
RNA, Viral 0.98 1.00 1.00 0.02 Vero Cells 0.98 1.00 1.03 0.02
Mice, Inbred BALB C 0.98 1.00 1.11 0.02 Cercopithecus Aethiops 0.98 1.00 1.03 0.02
Sequence Analysis, DNA 0.98 1.00 1.17 0.02 Amino Acid Sequence 0.98 1.00 1.00 0.02
Porcine Epidemic Diarrhea Virus 0.84 0.88 1.03 0.02 Middle East Respiratory Syndrome Coronavirus 0.88 0.91 1.03 0.02
Viral Proteins 0.98 1.00 1.06 0.02 Spike Glycoprotein, Coronavirus 0.98 1.00 1.03 0.02
Membrane Glycoproteins 0.95 0.98 1.00 0.02 Humans 0.98 1.00 1.03 0.02
Base Sequence 0.98 1.00 1.18 0.02 Coronavirus Infections 0.98 1.00 1.03 0.02
Antiviral Agents 0.98 1.00 1.20 0.02 Animals 0.98 1.00 1.00 0.02
Middle Aged 0.84 0.88 1.18 0.02
Table 2  Coronavirus的语义关联网络特征
Fig.3  Coronavirus语义关联网络的语义社区
Fig.4  Coronavirus语义聚类
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