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Visual Analysis for Understanding Irritable Bowel Syndrome
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-5220-633X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Science and Technology, Media and Information Technology.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2019 (English)In: Biomedical Visualisation / [ed] Paul Rea, Cham: Springer, 2019, p. 111-122Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Cham: Springer, 2019. p. 111-122
Series
Advances in Experimental Medicine and Biology ; 1156
Keywords [en]
Explorative data analytics, Visualization in medicine, Irritable bowel syndrome
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-160859DOI: 10.1007/978-3-030-19385-0_8ISBN: 9783030193843 (print)ISBN: 9783030193850 (electronic)OAI: oai:DiVA.org:liu-160859DiVA, id: diva2:1360054
Funder
Knut and Alice Wallenberg Foundation, 2013-0076Swedish Research Council, 2015-05462ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterAvailable from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-11Bibliographically approved

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Jönsson, DanielSimon, RozalynEngström, MariaWalter, SusannaHotz, Ingrid

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Jönsson, DanielBergström, AlbinSimon, RozalynEngström, MariaWalter, SusannaHotz, Ingrid
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Media and Information TechnologyFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Medicine and Health SciencesDivision of Neuro and Inflammation ScienceDepartment of Gastroentorology
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