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Visual Analysis for Understanding Irritable Bowel Syndrome
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-5220-633X
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Medie- och Informationsteknik.
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Medicinska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.
Vise andre og tillknytning
2019 (engelsk)Inngår i: Biomedical Visualisation / [ed] Paul Rea, Cham: Springer, 2019, s. 111-122Kapittel i bok, del av antologi (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Cham: Springer, 2019. s. 111-122
Serie
Advances in Experimental Medicine and Biology ; 1156
Emneord [en]
Explorative data analytics, Visualization in medicine, Irritable bowel syndrome
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-160859DOI: 10.1007/978-3-030-19385-0_8ISBN: 9783030193843 (tryckt)ISBN: 9783030193850 (digital)OAI: oai:DiVA.org:liu-160859DiVA, id: diva2:1360054
Forskningsfinansiär
Knut and Alice Wallenberg Foundation, 2013-0076Swedish Research Council, 2015-05462ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterTilgjengelig fra: 2019-10-10 Laget: 2019-10-10 Sist oppdatert: 2019-10-11bibliografisk kontrollert

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Totalt: 39 treff
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