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基于文献知识发现的传染病继发疾病挖掘分析研究

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目的/意义 挖掘公开发表的文献大数据,揭示传染病相关继发知识,助推继发感染监测平台研发建设,提升我国感染性疾病的预警防控水平.方法/过程 首次采用基于文献的知识发现方法,以病毒性肝炎、人类免疫缺陷病毒感染和结核感染3种常见传染病为例,从大规模生物医学文献数据中挖掘并分析其继发疾病.结果/结论 从超过3 680万篇PubMed文献中发掘出3种传染病的继发疾病,包括感染性疾病、非感染性疾病以及肿瘤.该方法在系统、全面地揭示传染病相关继发知识方面具有有效性,且为继发疾病的预警监测和尽早干预提供了更加有力的文献证据支持.
Research on the Secondary Incidence Analysis of Infectious Diseases Based on Literature Knowledge Discovery
Purpose/Significance To reveal secondary infection knowledge related to infectious diseases by mining public literature data,and to promote the research and construction of the secondary infection monitoring platform,so as to improve the prevention and control level of infectious diseases in China.Method/Process The literature based discovery method is firstly adopted to mine and ana-lyze the secondary diseases from large-scale biomedical literature data,taking viral hepatitis,human immunodeficiency virus(HIV)infection and tuberculosis infection as the examples.Result/Conclusion 3 kinds of secondary diseases including infectious diseases,non-infectious diseases and even tumors,are found from more than 36.8 million PubMed literature.The research results not only validate that this method provides a new approach for systematically and comprehensively reveal secondary infection knowledge related to infectious diseases,but also provide more powerful literature evidences for effective monitoring and early intervention of secondary diseases.

knowledge discoveryinfectious diseasessecondary infection

李晓瑛、门佩璇、李永洁、黄雅兰、孙轶楠、唐小利

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中国医学科学院/北京协和医学院医学信息研究所 北京 100020

知识发现 传染病 继发感染

2024

医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
年,卷(期):2024.45(11)