• Journal of the Korean Society of Radiology
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• v.17 no.2
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• pp.231-242
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• 2023

This study aims to provide basic data to reduce the incidence of radiation dermatitis and improve patient satisfaction by investigating the management status and satisfaction level of radiation dermatitis in patients undergoing radiation therapy. From October 28, 2022, to April 4, 2023, a survey was conducted on 137 breast cancer patients who received radiation therapy at G Hospital in Busan. The Radiation Therapy Oncology Group (RTOG) cutaneous acute radiotherapy toxicity score was used as the standard for measuring skin reactions, and the association between cancer stage and RTOG was analyzed. SPSS program (ver. 18.0) was used for statistical analysis. The frequency of radiation dermatitis occurrence was relatively low, with 73% in the RTOG 0-1 group and 27% in the 2-3 group. Patient satisfaction after radiation therapy varied significantly depending on the RTOG group, with lower levels of dermatitis resulting in higher satisfaction and higher levels resulting in dissatisfaction (p=0.001). Although there was no statistically significant difference in RTOG group and skin satisfaction depending on the frequency of aloe mist use (p=0.065), the group that used it 1-2 times a day (69.3%) showed a higher satisfaction level. The perceived effects of aloe mist use were statistically significant for decreasing heat sensation (p=0.001), pain (p=0.033), itching (p=0.001), and psychological stability (p=0.027), especially in the higher RTOG groups. Additionally, as cancer stage increased, the severity of radiation dermatitis also increased, which was statistically significant (p=0.001). In conclusion, radiation dermatitis is the most common side effect of radiation therapy, and it can appear in various forms depending on individual skin sensitivity and external factors during treatment. Adequate education before treatment and the use of MD Cream and aloe vera mist are recommended to reduce the incidence and manage radiation dermatitis effectively.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.179-196
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• 2019

Recently, the "Smart Consumer" has been emerging. He or she is increasingly inclined to search for and purchase products by taking into account personal judgment or expert reviews rather than by relying on information delivered through manufacturers' advertising. This is especially true when purchasing cosmetics. Because cosmetics act directly on the skin, consumers respond seriously to dangerous chemical elements they contain or to skin problems they may cause. Above all, cosmetics should fit well with the purchaser's skin type. In addition, changes in global cosmetics consumer trends make it necessary to study this field. The desire to find one's own individualized cosmetics is being revealed to consumers around the world and is known as "Finding the Holy Grail." Many consumers show a deep interest in customized cosmetics with the cultural boom known as "K-Beauty" (an aspect of "Han-Ryu"), the growth of personal grooming, and the emergence of "self-culture" that includes "self-beauty" and "self-interior." These trends have led to the explosive popularity of cosmetics made in Korea in the Chinese and Southeast Asian markets. In order to meet the customized cosmetics needs of consumers, cosmetics manufacturers and related companies are responding by concentrating on delivering premium services through the convergence of ICT(Information, Communication and Technology). Despite the evolution of companies' responses regarding market trends toward customized cosmetics, there is no "Intelligent Data Platform" that deals holistically with consumers' skin condition experience and thus attaches emotions to products and services. To find the Holy Grail of customized cosmetics, it is important to acquire and analyze consumer data on what they want in order to address their experiences and emotions. The emotions consumers are addressing when purchasing cosmetics varies by their age, sex, skin type, and specific skin issues and influences what price is considered reasonable. Therefore, it is necessary to classify emotions regarding cosmetics by individual consumer. Because of its importance, consumer emotion analysis has been used for both services and products. Given the trends identified above, we judge that consumer emotion analysis can be used in our study. Therefore, we collected and indexed data on consumers' emotions regarding their cosmetics experiences focusing on consumers' language. We crawled the cosmetics emotion data from SNS (blog and Twitter) according to sales ranking ($1^{st}$ to $99^{th}$), focusing on the ample/serum category. A total of 357 emotional adjectives were collected, and we combined and abstracted similar or duplicate emotional adjectives. We conducted a "Consumer Sentiment Journey" workshop to build a "Consumer Sentiment Dictionary," and this resulted in a total of 76 emotional adjectives regarding cosmetics consumer experience. Using these 76 emotional adjectives, we performed clustering with the Self-Organizing Map (SOM) method. As a result of the analysis, we derived eight final clusters of cosmetics consumer sentiments. Using the vector values of each node for each cluster, the characteristics of each cluster were derived based on the top ten most frequently appearing consumer sentiments. Different characteristics were found in consumer sentiments in each cluster. We also developed a cosmetics experience pattern map. The study results confirmed that recommendation and classification systems that consider consumer emotions and sentiments are needed because each consumer differs in what he or she pursues and prefers. Furthermore, this study reaffirms that the application of emotion and sentiment analysis can be extended to various fields other than cosmetics, and it implies that consumer insights can be derived using these methods. They can be used not only to build a specialized sentiment dictionary using scientific processes and "Design Thinking Methodology," but we also expect that these methods can help us to understand consumers' psychological reactions and cognitive behaviors. If this study is further developed, we believe that it will be able to provide solutions based on consumer experience, and therefore that it can be developed as an aspect of marketing intelligence.