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2018 | OriginalPaper | Chapter

19. Big Longitudinal Data Analysis

Author : Ivo D. Dinov

Published in: Data Science and Predictive Analytics

Publisher: Springer International Publishing

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Abstract

The time-varying (longitudinal) characteristics of large information flows represent a special case of the complexity and the dynamic multi-scale nature of big biomedical data that we discussed in the DSPA Motivation section. Previously, in Chap. 4, we saw space-time (4D) functional magnetic resonance imaging (fMRI) data, and in Chap. 16 we discussed streaming data, which also has a natural temporal dimension. Now we will go deeper into managing, modeling and analyzing big longitudinal data.

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Metadata
Title
Big Longitudinal Data Analysis
Author
Ivo D. Dinov
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-72347-1_19

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