Visual analysis of Chinese pharmacovigilance studies based on clustering algorithm

Xinmeng Sheng; Ziwei Zhao; Ludan Zhang; Shikui Cao

doi:10.1117/12.3032840

5 July 2024 Visual analysis of Chinese pharmacovigilance studies based on clustering algorithm

Xinmeng Sheng, Ziwei Zhao, Ludan Zhang, Shikui Cao

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131842X (2024) https://doi.org/10.1117/12.3032840
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Pharmacovigilance is an important aspect of healthcare aimed at reducing adverse events and drug interactions in patients due to drug use. With the continuous progress of medical technology and the wide application of drug therapy, the research of pharmacovigilance has attracted much attention. This paper utilizes Kleinberg algorithm and LLR algorithm to explore the development trend and research hotspots in the field of pharmacovigilance in China. Using CNKI as the data source and "pharmacovigilance" as the theme, we analyzed the relevant literature on pharmacovigilance from 1997 to 2023, revealing the hotspots and directions of current research. The upward trend in the number of articles can strengthen the communication and resource sharing among research institutions, and the hot topics in the field of pharmacovigilance, such as clinical trials, rational use of medication, risk management, adverse reactions, and traditional Chinese medicine, have emerged. At the same time, this study puts forward relevant suggestions for China's pharmacovigilance field, suggesting optimizing the monitoring of adverse reactions, strengthening pharmacovigilance risk management and promoting the development of the pharmacovigilance research field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinmeng Sheng, Ziwei Zhao, Ludan Zhang, and Shikui Cao "Visual analysis of Chinese pharmacovigilance studies based on clustering algorithm", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131842X (5 July 2024); https://doi.org/10.1117/12.3032840

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KEYWORDS

Analytical research

Medicine

Safety

Visualization

Visual analytics

Algorithm development

Clinical trials

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