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- Title
의료 산업에 있어 현대인의 비대면 의학 상담에 대한 관심도 분석 기법.
- Authors
강유성; 박종훈; 오하영; 이세욱
- 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.
- Subjects
GOOGLE Inc.; HOTLINES (Counseling); WORD frequency; BIG data; MENTAL health; INTERNAL medicine
- Publication
Journal of the Korea Institute of Information & Communication Engineering, 2022, Vol 26, Issue 11, p1571
- ISSN
2234-4772
- Publication type
Article
- DOI
10.6109/jkiice.2022.26.11.1571