Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis

  title={Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis},
  author={Heung-Il Suk and Seong-Whan Lee and Dinggang Shen},
  journal={Brain Structure and Function},
Recently, neuroimaging-based Alzheimer’s disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the increasing prevalence of the diseases. Unfortunately, the unfavorable high-dimensional nature of neuroimaging data, but a limited small number of samples available, makes it challenging to build a robust computer-aided diagnosis system. Machine learning techniques have been considered as a useful tool in this respect and, among various methods… CONTINUE READING


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