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Data mining techniques in health informatics: a case study from breast cancer research

  • Jing Lu
    ,
  • Alan Hales
    ,
  • David Rew
    ,
  • Malcolm Keech
    ,
  • Christian Fröhlingsdorf
    ,
  • Alex Mills-Mullett
Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

This paper presents a case study of using data mining techniques in the analysis of diagnosis and treatment events related to Breast Cancer disease. Data from over 16,000 patients has been pre-processed and several data mining techniques have been implemented by using Weka (Waikato Environment for Knowledge Analysis). In particular, Generalized Sequential Patterns mining has been used to discover frequent patterns from disease event sequence profiles based on groups of living and deceased patients. Furthermore, five models have been evaluated in Classification with the objective to classify the patients based on selected attributes. This research showcases the data mining process and techniques to transform large amounts of patient data into useful information and potentially valuable patterns to help understand cancer outcomes.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 56-70

Publication milestones

  • Published - 11/08/2015

Publication status

Published - 11/08/2015

Volume

9267

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Lecture Notes in Computer Science
    Number: 9267

ISBN (Print)

9783319227405

External Publication IDs

  • handle.net: 10547/624501
  • Scopus: 84943642514

Host publication title

Information Technology in Bio- and Medical Informatics 6th International Conference, ITBAM 2015, Valencia, Spain, September 3-4, 2015, Proceedings

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