Application of a data-mining method based on Bayesian networks to lesion-deficit analysis.

@article{Herskovits2003ApplicationOA,
  title={Application of a data-mining method based on Bayesian networks to lesion-deficit analysis.},
  author={E Herskovits and Joan P. Gerring},
  journal={NeuroImage},
  year={2003},
  volume={19 4},
  pages={1664-73}
}
Although lesion-deficit analysis (LDA) has provided extensive information about structure-function associations in the human brain, LDA has suffered from the difficulties inherent to the analysis of spatial data, i.e., there are many more variables than subjects, and data may be difficult to model using standard distributions, such as the normal distribution. We herein describe a Bayesian method for LDA; this method is based on data-mining techniques that employ Bayesian networks to represent… CONTINUE READING

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