Data Visualization on Global Trends on Cancer Incidence An Application of IBM Watson Analytics

dc.contributor.author Tsoi, Kelvin Kf
dc.contributor.author Chan, Felix Ch
dc.contributor.author Hirai, Hoyee W
dc.contributor.author Leung, Gary Ks
dc.contributor.author Kuo, Yong-Hong
dc.contributor.author Tai, Samson
dc.contributor.author Meng, Helen Ml
dc.date.accessioned 2016-12-29T01:16:06Z
dc.date.available 2016-12-29T01:16:06Z
dc.date.issued 2017-01-04
dc.description.abstract Visual analytics is widely used to explore data patterns and trends. This work leverages cancer data collected by World Health Organization (WHO) across over a hundred of cancer registries worldwide. In this study, we present a visual analytics platform, IBM Watson Analytics, to explore the patterns of global cancer incidence. We included 26 cancers from different geographic regions. An interactive interface was applied to plot a choropleth map to show global cancer distribution, and line charts to demonstrate historical cancer trends over 29 years. Subgroup analyses were conducted for different age groups. With real-time interactive features, we can easily explore the data with a selection of any cancer type, gender, age group, or geographical region. This platform is running on the cloud, so it can handle data in huge volumes, and is assessable by any computer connected to the Internet.
dc.format.extent 6 pages
dc.identifier.doi 10.24251/HICSS.2017.397
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41555
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Cancer incidence
dc.subject choropleth map
dc.subject global comparison
dc.subject interactive Interface
dc.subject visual analytics
dc.title Data Visualization on Global Trends on Cancer Incidence An Application of IBM Watson Analytics
dc.type Conference Paper
dc.type.dcmi Text
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
paper0406.pdf
Size:
792.93 KB
Format:
Adobe Portable Document Format
Description: