Review and classification of variability analysis techniques with clinical applications.
Review and classification of variability analysis techniques with clinical applications.
复制标题
通过临床应用审查和分类可变性分析技术。
DOI：
10.1186/1475-925x-10-90
复制
发表时间：
2011-10-10
影响因子：
3.9
通讯作者：
Seely AJ
中科院分区：
文献类型：
--
作者：
Bravi A;Longtin A;Seely AJ
时间序列变异模式的分析，称为变异性分析，代表了一个快速发展的学科，在不同的科学领域的应用越来越多。在医学，特别是重症监护，努力集中在评估变异性的临床效用。然而，适用于这一领域的技术的增长和复杂性使得解释和理解变异性更具挑战性。我们的目标是提供一个更新的审查变异性分析技术适用于临床应用。我们回顾了70多种变异性技术，为每种技术提供了基本理论和假设的简要描述，以及临床应用的总结。我们提出了一个修订后的分类领域的变异性技术，其中包括统计，几何，精力充沛，信息，和不变的。我们讨论的计算过程，往往需要一个数学变换的时间序列。我们的目标是总结广泛的文献，促进共享的词汇，这将改善思想的交流，以及不同研究之间的结果分析。最后，我们提出了变异性分析这一不断发展的科学面临的挑战。
Analysis of patterns of variation of time-series, termed variability analysis, represents a rapidly evolving discipline with increasing applications in different fields of science. In medicine and in particular critical care, efforts have focussed on evaluating the clinical utility of variability. However, the growth and complexity of techniques applicable to this field have made interpretation and understanding of variability more challenging. Our objective is to provide an updated review of variability analysis techniques suitable for clinical applications. We review more than 70 variability techniques, providing for each technique a brief description of the underlying theory and assumptions, together with a summary of clinical applications. We propose a revised classification for the domains of variability techniques, which include statistical, geometric, energetic, informational, and invariant. We discuss the process of calculation, often necessitating a mathematical transform of the time-series. Our aims are to summarize a broad literature, promote a shared vocabulary that would improve the exchange of ideas, and the analyses of the results between different studies. We conclude with challenges for the evolving science of variability analysis.