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http://dx.doi.org/10.6109/jkiice.2022.26.5.763

Analyzing Core Tehnology and Technological Convergence in Healthcare Using Topic Modeling and Network Analysis: Focus on Patent Information  

Kim, Eun-Jung (Electronics and Telecommunications Research Institute)
Choi, Hee-Jin (Electronics and Telecommunications Research Institute)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.5, 2022 , pp. 763-778 More about this Journal
Abstract
In this study we aim to identify the core technologies that play central roles along with the peripheral technologies that contribute to the technology convergence in digital healthcare. A total of 376 korean-patents related to healthcare were gathered from 2011 to 2020, and a topic modeling technique and a network analysis were conducted on the collected data. Six major topics were derived through the topic modeling procedure which are "data collection", "signal measurement", "health management", "data transmission", "diagnostic treatment", and "measurement device". Each of the six topics were analyzed to depict relations among technologies, specify the convergence characteristics, and identify the core-technology through centrality analysis. The study illustrates the present status of digital healthcare technology development and the technological convergence in South Korea and is anticipated to help establish policies to foster healthcare industry.
Keywords
Digital healthcare; Topic modeling; Network analysis; Patent Analysis;
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Times Cited By KSCI : 5  (Citation Analysis)
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