结构主题 建模分析 医疗保健中的数字双胞胎研究
1Department of Industrial and Information Systems Engineering, Soongsil University.
Studies in health technology and informatics
|August 8, 2025
概括
这项研究使用结构主题建模来分析医疗保健中的数字双胞胎 (DT) 研究,确定了八个关键主题. 这些发现突出了DT.
科学领域:
- 医疗信息学 医疗信息学
- 计算机科学在医学中的应用
背景情况:
- 数字双胞胎 (DT) 技术越来越多地集成到各个部门.
- 医疗保健正在探索先进的技术,以提高效率和个性化.
研究的目的:
- 识别和分类与医疗保健领域的数字双胞胎 (DT) 相关的主要研究主题.
- 为医疗保健中DT应用的当前景观提供结构化的概述.
主要方法:
- 从2018年到2024年,在五个数据库中进行了系统的文献搜索.
- 使用结构主题建模 (STM) 来分析收集的研究论文.
- 主题选择是基于语义连贯性,下界和持久概率指标.
主要成果:
- 从医疗保健文献中对数字双胞胎的分析中出现了八个不同的话题.
- 该研究确定了医疗保健中数据技术研究的重点领域和新兴趋势.
结论:
- 数字双胞胎技术是医疗保健创新的重要驱动力.
- 数据技术的整合有望提供更高效,个性化和先进的医疗保健解决方案.
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