Advertisement

PHARM - Association Rule Mining for Predictive Health

  • Chih-Wen Cheng
  • Greg S. Martin
  • Po-Yen Wu
  • May D. Wang
Part of the IFMBE Proceedings book series (IFMBE, volume 42)

Abstract

Predictive health is a new and innovative healthcare model that focuses on maintaining health rather than treating diseases. Such a model may benefit from computer- based decision support systems, which provide more quantitative health assessment, enabling more objective advice and action plans from predictive health providers. However, data mining for predictive health is more challenging compared to that for diseases. This is a reason why there are relatively fewer predictive health decision support systems embedded with data mining. The purpose of this study is to research and develop an interactive decision support system, called PHARM, in conjunction with Emory Center for Health Discovery and Well Being (CHDWB®). PHARM adopts association rule mining to generate quantitative and objective rules for health assessment and prediction. A case study results in 12 rules that predict mental illness based on five psychological factors. This study shows the value and usability of the decision support system to prevent the development of potential illness and to prioritize advice and action plans for reducing disease risks.

Keywords

Decision support system predictive health health modeling and prediction association rule mining 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chih-Wen Cheng
    • 1
  • Greg S. Martin
    • 2
  • Po-Yen Wu
    • 1
  • May D. Wang
    • 3
  1. 1.School of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaUSA
  2. 2.Center for Health Discovery and Well BeingEmory-Georgia Tech Predictive Health InstituteAtlantaUSA
  3. 3.Department of Biomedical EngineeringGeorgia Institute of Technology and Emory UniversityAtlantaUSA

Personalised recommendations