Visual Analysis for Understanding Irritable Bowel Syndrome

Daniel Jönsson, Albin Bergström, Isac Algström, Rozalyn Simon, Maria Engström, Susanna Walter, Ingrid Hotz
Biomedical Visualisation, Springer, Volume 1156, page 111--122 - 2019

The cause of irritable bowel syndrome (IBS), a chronic disorder characterized by abdominal pain and disturbed bowel habits, is largely unknown. It is believed to be related to physical properties in the gut, central mechanisms in the brain, psychological factors, or a combination of these. To understand the relationships within the gut-brain axis with respect to IBS, large numbers of measurements ranging from stool samples to functional magnetic resonance imaging are collected from patients with IBS and healthy controls. As such, IBS is a typical example in medical research where research turns into a big data analysis challenge. In this chapter we demonstrate the power of interactive visual data analysis and exploration to generate an environment for scientific reasoning and hypothesis formulation for data from multiple sources with different character. Three case studies are presented to show the utility of the presented work.

Access the book chapter here.
DOI: 10.1007/978-3-030-19385-0_8

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BibTex references

@incollection{JBASEWH19,
  author       = {J{\"o}nsson, Daniel and Bergstr{\"o}m, Albin and Algstr{\"o}m, Isac and Simon, Rozalyn and Engstr{\"o}m, Maria and Walter, Susanna and Hotz, Ingrid},
  title        = {{Visual Analysis for Understanding Irritable Bowel Syndrome}},
  booktitle    = {Biomedical Visualisation},
  volume       = {1156},
  pages        = {111--122},
  year         = {2019},
  editor       = {Paul M. Rea},
  publisher    = {Springer}
}

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