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http://dx.doi.org/10.6109/jkiice.2022.26.11.1571

Analysis of interest in non-face-to-face medical counseling of modern people in the medical industry  

Kang, Yooseong (Department of Super Intelligence, Sungkyunkwan University)
Park, Jong Hoon (Business Administration, Sungkyunkwan University)
Oh, Hayoung (College of Computing and Informatics, Sungkyunkwan University)
Lee, Se Uk (Department of Emergency Medicine, Samsung Medical Center)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.11, 2022 , pp. 1571-1576 More about this Journal
Abstract
This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.
Keywords
Machine learning; BERT; Sentimental analysis; Non face-to-face medical consultation;
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Times Cited By KSCI : 1  (Citation Analysis)
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