通过结构性主题建模,绘制数字医疗双胞胎研究主题的互连性
1Department of Nursing Science, Sun Moon University, Asan, Republic of Korea.
Scientific reports
|August 28, 2025
概括
数字双胞胎 (DT) 技术通过实时数据和分析提升医疗保健. 关键趋势显示安全,云计算和机器学习在医疗保健系统中占据了核心地位.
科学领域:
- 医疗信息学
- 计算机科学
- 数据科学
背景情况:
- 数字双胞胎 (DT) 技术为医疗保健系统提供了变革的潜力.
- 通过利用实时数据和先进分析,医疗技术可以提高患者护理和运营效率.
研究的目的:
- 在医疗保健领域应用数字双胞胎技术的关键研究趋势.
- 使用结构主题建模 (STM) 来分析当前的研究环境.
主要方法:
- 在五个电子数据库中对医疗保健和数字双胞胎进行了系统搜索.
- 采用结构主题建模 (STM) 以持久概率和语义连贯性等指标来确定最佳的主题细分.
- 分析了已识别的主题的网络结构,以了解它们的相互联系.
主要成果:
- 确定了与医疗保健中的数字双胞胎相关的八个最佳研究主题.
- 主题是"改善医疗保健数据流程和沟通的安全解决方案".
- "云计算和数据网络架构"和"准确检测和预测的机器学习算法"是技术和临床应用之间的关键桥梁.
结论:
- 在医疗保健中广泛采用数字双胞胎需要强有力的数据安全,隐私和道德合规管理.
- 强有力的监管框架,道德准则和问责制对于成功实施至关重要.
- 这些趋势凸显了医疗保健领域的巨大潜力.
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