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http://dx.doi.org/10.9708/jksci.2022.27.03.137

Development of big data based Skin Care Information System SCIS for skin condition diagnosis and management  

Kim, Hyung-Hoon (Dept. of Cosmetic Science, Kwangju Womens University)
Cho, Jeong-Ran (Dept. of Health Administration, Kwangju Womens University)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.3, 2022 , pp. 137-147 More about this Journal
Abstract
Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.
Keywords
Skin information management system; Skin diagnosis and management; Big data; Natural language processing; Text mining;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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