Trends and features of the applications of natural language processing techniques for clinical trials text analysis

Xieling CHEN, Haoran XIE, Kwok Shing CHENG, Kin Man POON, Mingming LENG, Fu Lee WANG

Research output: Contribution to journalArticles

4 Citations (Scopus)

Abstract

Natural language processing (NLP) is an effective tool for generating structured information from unstructured data, the one that is commonly found in clinical trial texts. Such interdisciplinary research has gradually grown into a flourishing research field with accumulated scientific outputs available. In this study, bibliographical data collected from Web of Science, PubMed, and Scopus databases from 2001 to 2018 had been investigated with the use of three prominent methods, including performance analysis, science mapping, and, particularly, an automatic text analysis approach named structural topic modeling. Topical trend visualization and test analysis were further employed to quantify the effects of the year of publication on topic proportions. Topical diverse distributions across prolific countries/regions and institutions were also visualized and compared. In addition, scientific collaborations between countries/regions, institutions, and authors were also explored using social network analysis. The findings obtained were essential for facilitating the development of the NLP-enhanced clinical trial texts processing, boosting scientific and technological NLP-enhanced clinical trial research, and facilitating inter-country/region and inter-institution collaborations. Copyright © 2020 by the authors.
Original languageEnglish
Article number2157
JournalApplied Sciences (Switzerland)
Volume10
Issue number6
DOIs
Publication statusPublished - Mar 2020

Citation

Chen, X., Xie, H., Cheng, G., Poon, L. K. M., Leng, M., & Wang, F. L. (2020). Trends and features of the applications of natural language processing techniques for clinical trials text analysis. Applied Sciences, 10(6). Retrieved from https://doi.org/10.3390/app10062157

Keywords

  • Natural language processing
  • Clinical trials text
  • Bibliometrics
  • Collaboration
  • Structural topic modeling
  • PG student publication

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