• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Research on the Secondary Incidence Analysis of Infectious Diseases Based on Literature Knowledge Discovery

Corresponding author: Li Xiaoying, lixiaoying@imicams.ac.cn
DOI: 10.12201/bmr.202408.00057
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Purpose/Significance The early warning of infectious diseases has been effectively regulated by international and domestic specialized organizations, but there is limited significant attention paid to its secondary risk. This paper aims to reveal secondary knowledge related to infectious diseases by mining public literature data, and promote the research and construction of secondary infection monitoring platform, which will improve the prevention and control level of infectious diseases in China. Method/Process The literature based discovery method is firstly adopted to mine and analyze the secondary diseases from large-scale biomedical literature data, taking viral hepatitis, HIV infection and tuberculosis infection as the examples. Result/Conclusion Three kinds of secondary diseases including infectious diseases, non-infectious diseases and even tumors, were found from over PubMed citations. Conclusion:The research results not only validate that this method provides a new approach for systematically and comprehensively reveal secondary knowledge related to infectious diseases, but also provide more powerful literature evidences for effective monitoring and early intervention of secondary diseases.

    Key words: Knowledge Discovery; Infectious Diseases; Secondary Infection

    Submit time: 26 August 2024

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
  • 图表

  • Li Xiaoying, Cai Miaozhi, Li Junlian, Ren Huiling, Ji Yujing, Deng Panpan, Xia Guanghui. Research on the construction of COVID-19 knowledge graph for literature organization. 2020. doi: 10.12201/bmr.202010.00840

    YANG Ziliang, ZHAO Zixiong, ZHANG Yewu, MA Jiaqi. A Research on the Construction of a Case Epidemiological Portrait Labeling System for Respiratory Infectious Diseases. 2022. doi: 10.12201/bmr.202112.00010

    WANGDONG, TIAN Yong-quan, QIAN Zhao-xin, TANG Yan. Spatial Accessibility Analysis of Fever Clinics and Designated Hospitals in Response to Epidemic Events of Infectious Diseases: A Case Study of Hunan Province. 2021. doi: 10.12201/bmr.202107.00022

    ZHAO Jian, ZhaoYu, XU Xiaowei, YANG Yazhou, YU Ying. Design and Application of infectious disease monitoring and warning disposal system based on big data and 5G technology. 2023. doi: 10.12201/bmr.202305.00009

    Chen jie, Qiu Lixia, Liu Yali. The application of BOPPPS teaching mode combined with case teaching method in infectious disease teaching. 2024. doi: 10.12201/bmr.202406.00015

    liangjing, wenyi. Research on the Application of Knowledge Graph in Medical Aided Diagnosis. 2022. doi: 10.12201/bmr.202109.00021

    Liu Zhongyu, Yao Jia, Yu Siwei, Zheng Ziqiang, Lan Lan, Yin Jin. Research on Analysis and Countermeasures of Medical Disputes Based on Knowledge Extraction. 2021. doi: 10.12201/bmr.202110.00022

    Li Hang jian, Tong Ming jiong. . 2024. doi: 10.12201/bmr.202409.00056

    dujian. Approaches on measuring the uncertainty of medical knowledge. 2022. doi: 10.12201/bmr.202202.00001

    Guan Zhihao, Shan Zhiyi, Lin Ziluo, yangxuemei, Tang Xiaoli. Discovery of potential comorbidity relationship based on co-occurrence and citation of entities. 2022. doi: 10.12201/bmr.202203.00003

  • ID Submit time Number Download
    1 2024-06-03

    bmr.202408.00057V1

    Download
  • Public  Anonymous  To author only

Get Citation

Li Xiaoying. Research on the Secondary Incidence Analysis of Infectious Diseases Based on Literature Knowledge Discovery. 2024. biomedRxiv.202408.00057

Article Metrics

  • Read: 72
  • Download: 0
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误