Analyzing Research Trends in Digital Therapeutic: A Topic Modeling Approach

Authors

  • Eunsun Choi, Namje Park

DOI:

https://doi.org/10.17762/msea.v71i3.184

Abstract

Digital Therapy (DTx) is in the spotlight in the medical community as an efficient treatment method that allows low cost for patients and timely intervention for doctors. This paper aims to find the development direction of DTx by analyzing the trend of DTx research until April 2022.We first collected the paper mentioned DTx in the title or subject word of the paper, or abstract, in Springer through web crawling. We grouped synonyms into one word, and excluded foreign language papers that could not be analyzed for data analysis of the collected documents. The approach used for data analysis is a topic modeling method used to find the subject word in a set of documents, among text mining techniques. Through this, terms frequently used in the literature were found through frequency analysis. We also conducted centrality analysis on the top 10 words with high frequency identified through frequency analysis. In addition, we created groups of words by topic modeling to determine which words were clustered.We conducted three analyses on 179 literatures related to DTx through this study, and identified the research trends of DTx through the results. The first analysis is frequency analysis. Through this, it was found that a lot of research is being conducted on technology, datum, system, application, and App based on AI as well as health and patient. The second analysis is centrality analysis. The centrality between each word was not strongly revealed. The third analysis is topic modeling analysis. We created five topic groups, and device and tool were included in 2 groups. Along with technical research, we confirmed that research on the economic value of DTx is also being actively conducted.This study analyzed DTx-related papers published in Springer and has limitations in viewing them as overall research trends for DTx. However, not only the keywords of papers conducted in most research trends analysis, but also the title, abstract, and keywords of the papers were used for analysis to derive more detailed research results. This study is on research trends. It can be applied to future policy research or development directions related to DTx.

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Published

2022-06-09

How to Cite

Eunsun Choi, Namje Park. (2022). Analyzing Research Trends in Digital Therapeutic: A Topic Modeling Approach. Mathematical Statistician and Engineering Applications, 71(3), 464 –. https://doi.org/10.17762/msea.v71i3.184

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Section

Articles