Data Visualization on Global Trends on Cancer Incidence An Application of IBM Watson Analytics
Refereed conference paper presented and published in conference proceedings


摘要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.
著者Kelvin Kf Tsoi, Felix Ch Chan, Hoyee W Hirai, Gary Ks Leung, Yong-Hong Kuo, Samson Tai, Helen Ml Meng
會議名稱Hawaii International Conference on System Sciences (HICSS) 2017
會議論文集題名Proceedings of the 50th Hawaii International Conference on System Sciences 2017
頁次3283 - 3288

上次更新時間 2018-25-05 於 11:27