Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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Short Note on Optimizing Feature Selection to Improve Medical Diagnosis

  • Guo, Cui (Business School, Shantou University) ;
  • Ryoo, Hong Seo (Industrial Management Engineering, Korea University)
  • Received : 2014.09.01
  • Accepted : 2014.10.19
  • Published : 2014.11.30
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Abstract

A new classification framework called 'support feature machine' was introduced in [2] for analyzing medical data. Contrary to authors' claim, however, the proposed method is not designed to guarantee minimizing the use of the spatial feature variables. This paper mathematically remedies this drawback and provides comments on models from [2].

Keywords

References

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  2. Fan, Y.J. and A. Chaovalitwongse, "Optimizing feature selection to improve medical diagnosis," Annals of Operations Research, Vol.174 (2010), pp.169-183. https://doi.org/10.1007/s10479-008-0506-z
  3. Mangasarian, O., "Multisurface method of pattern separation," IEEE Transactions on Information Theory, Vol.14, No.6(1968), pp. 801-807. https://doi.org/10.1109/TIT.1968.1054229