Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data

@inproceedings{Ye2012SparseLA,
  title={Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data},
  author={Jieping Ye and Michael Farnum and Eric X. Yang and Rudi Verbeeck and Victor Lobanov and Nandini Raghavan and Gerald P Novak and Allitia Dibernardo and Vaibhav A. Narayan},
  booktitle={BMC neurology},
  year={2012}
}
BACKGROUND Patients with Mild Cognitive Impairment (MCI) are at high risk of progression to Alzheimer's dementia. Identifying MCI individuals with high likelihood of conversion to dementia and the associated biosignatures has recently received increasing attention in AD research. Different biosignatures for AD (neuroimaging, demographic, genetic and cognitive measures) may contain complementary information for diagnosis and prognosis of AD. METHODS We have conducted a comprehensive study… CONTINUE READING
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