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在有疼痛经历的成年人中,数字疼痛模型数据的摘要和分析:范围审查

Darcy Alex Murphy¹, Syed Mustafa Ali¹, Shellie Ann Boudreau²

¹Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.

Journal of medical Internet research

|August 22, 2025

概括

数字疼痛模型提供详细的空间疼痛数据. 这项审查发现了总结疼痛程度和位置的常用方法,但缺乏标准化,先进的分析方法限制了可比性.

科学领域:

疼痛研究和数字健康工具.
在医疗保健领域进行空间数据分析.

背景情况:

数字疼痛模型越来越多地用于详细的空间疼痛数据收集.
它们比传统的基于问卷的疼痛报告提供了优势.
目前还没有全面的数据分析.

研究的目的:

绘制数字疼痛图的总结和分析方法.
通过这些总结来识别疼痛构造.
描述个人和多图分析方法.

主要方法:

一个范围审查系统地确定了使用数字疼痛模型的研究.
在多个数据库中搜索有关疼痛和人形的术语.
提取和综合了总结措施和分析方法的数据.

主要成果:

包括92项研究,主要是临床和横截面研究.
八十七项研究报告了个别绘图层次的总结,主要是疼痛程度,位置和普遍性.
42项研究使用多图法,其中热图最常见.

结论:

研究通常报告疼痛程度,并使用热图进行多图总结.
超越总结的先进分析方法很少见.
方法上的差异阻碍了可比性,强调了标准化的需要.

关键词:

没有.人工智能数字疼痛身体地图数字疼痛图表数字疼痛绘图数字疼痛玩偶疼痛的测量患者生成的健康数据

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