• 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

Analysis of data mining based clinical intelligence decision making technology

Corresponding author: Zhang Yun Qiu, yunqiu@jlu.edu.cn.
DOI: 10.12201/bmr.202402.00009
Statement: This article is a preprint and has not been peer-reviewed.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.
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    Abstract: Purpose/Significance To grasp the development status of clinical decision support system (CDSS) as a whole; to provide reference for domestic CDSS vendors research on CDSS-related technologies. Process/Methodology Firstly, we analyzed the CDSS public patent data in terms of application trends, patent distribution, patent owners, and technology field distribution, then we analyzed the patent owners of each category relying on word frequency and interword vectors, and finally analyzed the technology association and patent exclusivity related situations based on active patent owners. Results/Conclusions The overall number of CDSS patent disclosures is growing, and as of August 2022, the total number of CDSS patent disclosures is 2,613; the patent technologies are mainly concentrated in the fields of G06 and A61, and the number of patents disclosed by Ping An Group is much higher than other patent owners; at the same time, each patent owner is trying to achieve technological breakthroughs and innovations in order to build their own patent defense barriers.

    Key words: CDSS; patent; patent owner; technology association; technology exclusivity

    Submit time: 26 February 2024

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  • ID Submit time Number Download
    1 2023-08-02

    bmr.202402.00009V1

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Zhang Dong Yun, Li Chen Cheng, Yin Ce, Zhang Yun Qiu. Analysis of data mining based clinical intelligence decision making technology. 2024. biomedRxiv.202402.00009

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