Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment

@article{Nanni2018EnsembleBO,
  title={Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment},
  author={Loris Nanni and Alessandra Lumini and Nicol{\`o} Zaffonato},
  journal={Journal of Neuroscience Methods},
  year={2018},
  volume={302},
  pages={42-46}
}
BACKGROUND Alzheimer's disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Scientific research is very active in the challenge of designing automated approaches to achieve an early and certain diagnosis. Recently an international competition among AD predictors has been organized: "A Machine learning neuroimaging challenge for automated diagnosis of Mild Cognitive Impairment" (MLNeCh). This competition is based on pre-processed sets of T1-weighted… CONTINUE READING
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