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The purpose of this study was to identify the core research trends and topics within the field of body contouring devices by analyzing the frequency and interrelationships among keywords extracted from domestic academic journals and theses. A total of 53 documents were collected from reputable academic content platforms, such as DBpia and RISS, and text mining techniques were employed to extract 1,851 words, which were subsequently refined using preprocessing and duplicate removal, resulting in 40 core keywords. Semantic network analysis was then applied to compute centrality measures,including degree, betweenness, closeness, and eigenvector centrality, revealing that keywords such as ‘abdominal obesity’, ‘radiofrequency’, and ‘reduction effect’ play pivotal roles in this research domain. Moreover, CONCOR analysis grouped the keywords into four distinct clusters corresponding to body composition and obesity, anthropometric measurements, therapeutic interventions, and research outcomes, indicating that studies in this field address not only aesthetic improvement but also clinical efficacy. These findings provide valuable academic and practical insights, suggesting future research directions that integrate objective health indicators with innovative device applications to enhance the overall impact of body shape management solutions.
本研究旨在通过分析国内学术期刊和学位论文揭示体型管理设备领域的研究趋势与 核心主题ն为此本研究从DBpia和RISS数据库中收集了53篇文献运用文本挖掘技术提取 了1,851个词汇ն经过预处理和去重处理后最终提炼出40个核心关键词并进行了语义网络 分析ն通过连接中心性յ中介中心性յ邻近中心性յ威势中心性等指标分析发现腹部肥 胖յ高频次յ减重效果等指标显示出较高的中心性特征被确定为主要研究主题ն此外通 过CONCOR聚类分析研究将关键词划分为四个类别体型与肥胖յ人体测量指标յ治疗与 手术干预յ研究结果与临床因素这表明体型管理设备研究已突破美容改善范畴开始深入 探索临床效果ն本研究通过整合未来健康指标与创新设备技术将为强化体型管理的有效性 及科学依据提供基础性研究数据ն*표시는 필수 입력사항입니다.
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