SDI: Shape Distribution Indicator and Its Application to Find Interrelationships Between Physical Activity Tests and Other Medical Measures

  • Ashkan Sami
  • Ryoichi Nagatomi
  • Makoto Takahashi
  • Takeshi Tokuyama
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4304)


Comprehensibility is driving force in medical data mining results since doctors utilize the outputs and give the final decision. Another important issue specific to some data sets, like physical activity, is their uniform distribution due to tile analysis that was performed on them In this paper, we propose a novel data mining tool named SDI (Shape Distribution Indicator) to give a comprehensive view of co-relations of attributes together with an index named ISDI to show the robustness of SDI outputs. We apply SDI to explore the relationship of the Physical Activity data and symptoms in medical test dataset for which popular data mining methods fail to give an appropriate output to help doctors decisions. In our experiment, SDI found several useful relationships.


Physical Activity Benign Prostatic Hyperplasia Association Rule International Prostate Symptom Score Frequent Itemsets 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ashkan Sami
    • 1
  • Ryoichi Nagatomi
    • 2
  • Makoto Takahashi
    • 1
  • Takeshi Tokuyama
    • 3
  1. 1.Graduate School of EngineeringTohoku UniversityJapan
  2. 2.Department of Medicine and Science in Sports and Exercise, Graduate School of MedicineTohoku UniversityJapan
  3. 3.Graduate School of Information SciencesTohoku UniversityJapan

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