Using T3, an improved decision tree classifier, for mining stroke-related medical data.

@article{Tjortjis2007UsingTA,
  title={Using T3, an improved decision tree classifier, for mining stroke-related medical data.},
  author={Christos Tjortjis and M. Saraee and Babis Theodoulidis and John A. Keane},
  journal={Methods of information in medicine},
  year={2007},
  volume={46 5},
  pages={523-9}
}
OBJECTIVES Medical data are a valuable resource from which novel and potentially useful knowledge can be discovered by using data mining. Data mining can assist and support medical decision making and enhance clinical management and investigative research. The objective of this work is to propose a method for building accurate descriptive and predictive models based on classification of past medical data. We also aim to compare this method with other well established data mining methods and… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 27 references

Mining the Cystic Fibrosis Data

  • L. Kurgan, K. J. Cios, M. Sontag, F. J. Accurso
  • 2005
2 Excerpts

T3: an Improved Classification Algorithm for Data Mining

  • C. Tjortjis, Keane J.A
  • Lecture Notes Computer Science Series, Springer…
  • 2002
3 Excerpts

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