Institute of Visual Computing & Human-Centered Technology, Vienna, Austria.
Adv Exp Med Biol. 2019;1138:137-162. doi: 10.1007/978-3-030-14227-8_10.
Medicine is among those research fields with a significant impact on humans and their health. Already for decades, medicine has established a tight coupling with the visualization domain, proving the importance of developing visualization techniques, designed exclusively for this research discipline. However, medical data is steadily increasing in complexity with the appearance of heterogeneous, multi-modal, multi-parametric, cohort or population, as well as uncertain data. To deal with this kind of complex data, the field of Visual Analytics has emerged. In this chapter, we discuss the many dimensions and facets of medical data. Based on this classification, we provide a general overview of state-of-the-art visualization systems and solutions dealing with high-dimensional, multi-faceted data. Our particular focus will be on multi-modal, multi-parametric data, on data from cohort or population studies and on uncertain data, especially with respect to Visual Analytics applications for the representation, exploration, and analysis of high-dimensional, multi-faceted medical data.
医学是对人类及其健康有重大影响的研究领域之一。几十年来，医学已经与可视化领域紧密结合，证明了开发专门为这一研究领域设计的可视化技术的重要性。然而，随着异构、多模态、多参数、队列或人群以及不确定数据的出现，医学数据的复杂性也在稳步增加。为了处理这种复杂的数据，可视化分析领域应运而生。在本章中，我们将讨论医学数据的许多维度和方面。基于这种分类，我们提供了一个概述，介绍了处理高维、多方面数据的最新可视化系统和解决方案。我们特别关注多模态、多参数数据、队列或人群研究的数据以及不确定数据，特别是关于用于表示、探索和分析高维、多方面医学数据的可视化分析应用。
