Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease


Accurate prediction of Alzheimer's disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is… (More)
DOI: 10.1038/srep39880


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