Knowledge Mapping Analysis on Text Mining Research of Medicine Related Fields in Different Regions

Mengye Gou, Wenlong ZHAO

Abstract


In order to trace the trend of text mining research in medicine related fields through the massive literature, we analyzed the bibliographical reference data of relevant literature in the WOS database with methods of bibliometric and knowledge mapping. We concluded the research state from aspects of time sequence, core authors and institutions, regional and disciplinary distribution; and summarized the research hot points and frontiers through knowledge mapping analysis by using assistant tool CitespaceⅢ. Our analysis indicates that text mining research in medicine related fields appears a steady-state growth trend and state of multidisciplinary integration; and text mining technology has been widely applied to biomedical field such as named entity recognition task, construction and automatic annotation of gene or protein relating corpus, and biomedical event extraction based on various text mining tools. Besides, the research in recent years turns to the EHR information extraction and knowledge discovery, drug knowledge mining and social media mining, etc. In conclusion, it’s worth applying text mining technology to explore medical information, especially clinical information or other aspects more extensively and
thoroughly.


Keywords


Text mining; Text analysis; Knowledge mapping; Medical information; Biomedical information; Health information

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References


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DOI: http://dx.doi.org/10.3968/10006

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