A hybrid prediction model with F-score feature selection for type II Diabetes databases

@inproceedings{Ilango2010AHP,
  title={A hybrid prediction model with F-score feature selection for type II Diabetes databases},
  author={B. Sarojini Ilango and N. Ramaraj},
  booktitle={A2CWiC},
  year={2010}
}
The medical data are multidimensional, and are represented by a large number of features. Hundreds of independent features (parameters) in these high dimensional databases need to be simultaneously considered and analyzed, for valuable decision-making information in medical prediction. Most data mining methods depend on a set of features that define the behavior of the learning algorithm and directly or indirectly influence the complexity of the resulting models. Hence, to improve the… CONTINUE READING
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