Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records
نویسندگان
چکیده
منابع مشابه
Designing for Interactive Dimension Reduction Visual Analytics Tools to Explore High-Dimensional Data
Exploring high-dimensional data is challenging. As the number of dimensions in datasets increases, the harder it becomes to discover patterns and develop insights. Dimension reduction algorithms, such as multidimensional scaling, support data explorations by reducing datasets to two dimensions for visualization. Because these algorithms rely on underlying parameterizations, they may be tweaked ...
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High-dimensional data is receiving increasing attention in more and more application fields, but the analysis of such data has shown to be difficult due to the “curse of dimensionality”. Dimension reduction methods have emerged as successful tools to overcome the problem of high-dimensionality. However, even if they are designed to preserve the most important properties of the data, they are ge...
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Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension. A common approach to solving this problem is dimensionality reduction. Existing dimensionality reduction techniques usually generate lower dimensional spaces that have little intuitive meaning to users and allow litt...
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BACKGROUND Relying on diagnostic categories of neuropsychiatric illness obscures the complexity of these disorders. Capturing multiple dimensional measures of neuropathology could facilitate the clinical and neurobiological investigation of cognitive and behavioral phenotypes. METHODS We developed a natural language processing-based approach to extract five symptom dimensions, based on the Na...
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In this paper, we present principles focused on humancentered usability for developing interactive visual analytic systems that enable users to tweak model parameters directly or indirectly so that they may explore high-dimensional data. To exemplify our principles, we refer to our application, Andromeda, that implements interactive weighted multidimensional scaling (WMDS). Through its use, we ...
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ژورنال
عنوان ژورنال: Informatics
سال: 2020
ISSN: 2227-9709
DOI: 10.3390/informatics7020017