CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data.
CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data.
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DOI：
10.1371/journal.pcbi.1010496
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发表时间：
2022-10
影响因子：
4.3
通讯作者：
中科院分区：
文献类型：
--
作者：
身体地图通常用于捕获患者疼痛的位置，从而反映整个身体的疼痛程度。随着电子捕获身体地图信息的增加，出现了对能够在个体和群体尺度上可视化该数据的临床和研究就绪工具的需求。在这里，我们提出了CHOIRBM，一个可扩展的和模块化的R包和配套的Web应用程序建立在图形系统的语法。CHOIRBM提供的功能简化了从CHOIR身体图（CBM）集成的患者身体图数据在单个患者和大数据集级别的分析和绘图过程。CHOIRBM建立在流行的R图形包ggplot2之上，它有助于开源开发社区在未来需求出现时进一步开发和添加功能。CHOIRBM软件包是根据MIT许可证的条款分发的，可以在CRAN上获得。具有最新功能的开发版本包可以从GitHub安装。使用CHOIRBM的示例分析演示了模块化R包的功能，并突出了有效生成CBM可视化的临床和研究效用。随着时间的推移，患有慢性疼痛疾病的患者数量稳步急剧增加，导致巨大的个人和社会负担。为了更好地研究和改善这些疾病的治疗，重要的是要开发表征患者疼痛的方法。这项工作的核心是描述每个患者全身疼痛的位置和分布。身体地图是高效且有效地促进捕获患者疼痛的位置和程度的视觉方法，并且可以容易地与电子数据捕获系统集成。随着电子健康记录已成为患者护理的基石，对临床和研究就绪工具的需求正在出现，以可视化个人和群体尺度上的身体地图数据。为了满足这一需求，斯坦福大学的研究人员开发并验证了CHOIR身体地图，用于捕获给定患者疼痛的位置和分布，我们开发了CHOIRBM R软件包用于分析数据。CHOIRBM软件提供了分析或可视化个人身体地图和大规模数据集的功能，用于跨群体进行比较，如人口统计学或疼痛状况。此外，我们使用流行的R图形包ggplot2构建了CHOIRBM，以便于将来需要时进行进一步开发或定制。
Body maps are commonly used to capture the location of a patient’s pain and thus reflect the extent of pain throughout the body. With increasing electronic capture body map information, there is an emerging need for clinic- and research-ready tools capable of visualizing this data on individual and mass scales. Here we propose CHOIRBM, an extensible and modular R package and companion web application built on the grammar of graphics system. CHOIRBM provides functions that simplify the process of analyzing and plotting patient body map data integrated from the CHOIR Body Map (CBM) at both individual patient and large-dataset levels. CHOIRBM is built on the popular R graphics package, ggplot2, which facilitates further development and addition of functionality by the open-source development community as future requirements arise. The CHOIRBM package is distributed under the terms of the MIT license and is available on CRAN. The development version of the package with the latest functions may be installed from GitHub. Example analysis using CHOIRBM demonstrates the functionality of the modular R package and highlights both the clinical and research utility of efficiently producing CBM visualizations. The number of patients with chronic pain conditions has steadily and dramatically increased over time, leading to immense individual and societal burden. To better study and improve treatments for these conditions, it is important to develop methods for characterizing the patients’ pain. Central to this effort is describing the location and distribution of pain throughout each patient’s body. Body maps are visual methods that efficiently and effectively facilitate capturing the location and extent of a patient’s pain and can be readily integrated with electronic data capture systems. As electronic health records have become the cornerstone of patient care, there is an emerging need for clinic- and research-ready tools to visualize body-map data on individual and mass scales. To address this need, Stanford researchers developed and validated the CHOIR Body Map for capturing the locations and distribution of a given patient’s pain, and we developed the CHOIRBM R package for analyzing the data. The CHOIRBM software provides functions for analyzing or visualizing individual body maps and large-scale data sets for comparisons across groups such as demographics or pain conditions. In addition, we built CHOIRBM with the popular R graphics package ggplot2 to facilitate further development or customization as future needs arise.
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影响因子：
7.4
作者：
Bair, Eric;Gaynor, Sheila;Maixner, William
通讯作者：
Maixner, William
DOI：
10.13063/2327-9214.1015
发表时间：
2013
期刊：
EGEMS (Washington, DC)
影响因子：
--
作者：
Broderick JE;DeWitt EM;Rothrock N;Crane PK;Forrest CB
通讯作者：
Forrest CB
影响因子：
7.4
作者：
Moseley, G. Lorimer
通讯作者：
Moseley, G. Lorimer
影响因子：
7.4
作者：
MARGOLIS, RB;TAIT, RC;KRAUSE, SJ
通讯作者：
KRAUSE, SJ
影响因子：
2.9
作者：
Carriere, Junie S.;Sturgeon, John A.;Darnall, Beth D.
通讯作者：
Darnall, Beth D.