IDEAS home Printed from https://ideas.repec.org/a/igg/jhisi0/v13y2018i1p45-54.html
   My bibliography  Save this article

Data Visualization with IBM Watson Analytics for Global Cancer Trends Comparison from World Health Organization

Author

Listed:
  • Kelvin K. F. Tsoi

    (Stanley Ho Big Data Decision Analytics Research Centre and Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China)

  • Felix C. H. Chan

    (Stanley Ho Big Data Decision Analytics Research Centre, Chinese University of Hong Kong, Hong Kong, China)

  • Hoyee W. Hirai

    (Stanley Ho Big Data Decision Analytics Research Centre, Chinese University of Hong Kong, Hong Kong, China)

  • Gary K. S. Keung

    (Stanley Ho Big Data Decision Analytics Research Centre, Chinese University of Hong Kong, Hong Kong, China)

  • Yong-Hong Kuo

    (Stanley Ho Big Data Decision Analytics Research Centre, Chinese University of Hong Kong, Hong Kong, China)

  • Samson Tai

    (IBM China/Hong Kong Limited, Hong Kong, China)

  • Helen M. L. Meng

    (Stanley Ho Big Data Decision Analytics Research Centre and Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Hong Kong, China)

Abstract

Visual analytics is widely used to explore data patterns and trends. This work leverages cancer data collected by World Health Organization (WHO) across a hundred of cancer registries worldwide. In this study, the authors present a visual analytics platform, IBM Watson Analytics, to explore the patterns of global cancer incidence. They included 26 forms of cancers from eight different geographic regions which are United States, the United Kingdom, Costa Rica, Sweden, Croatia, Japan, Hong Kong and China (Shanghai). 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, one 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 accessible by any computer connected to the Internet. IBM Watson Analytics released a latest version named “IBM Watson Analytics New User Experience” in the end of 2016. The new version streamlined the process to add data, discover data meaning and display result visually. The authors discuss the new features in the end of this paper.

Suggested Citation

  • Kelvin K. F. Tsoi & Felix C. H. Chan & Hoyee W. Hirai & Gary K. S. Keung & Yong-Hong Kuo & Samson Tai & Helen M. L. Meng, 2018. "Data Visualization with IBM Watson Analytics for Global Cancer Trends Comparison from World Health Organization," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 13(1), pages 45-54, January.
    • Handle: RePEc:igg:jhisi0:v:13:y:2018:i:1:p:45-54
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHISI.2018010104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jhisi0:v:13:y:2018:i:1:p:45-54. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.