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Application of pattern classification in the diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is a common neurodegenerative disease in the elderly. Early diagnosis and prediction plays an important role in early intervention and delaying disease progression of AD. This paper focused on the principles and process of pattern classification method, and its application i...

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Published in:Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 15; no. 7; pp. 524 - 531
Main Authors: CHI Min-yue, GUO Sheng-wen
Format: abstract review Journal Article
Published: Chinese Journal of Contemporary Neurology & Neurosurgery Jul2015
Online Access:View this record in EBSCOhost
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      dt: Jul2015
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      pub: Chinese Journal of Contemporary Neurology & Neurosurgery
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        10.3969/j.issn.l672-6731.2015.07.005
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        atl: Application of pattern classification in the diagnosis of Alzheimer's disease.
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        au:
          CHI Min-yue
          GUO Sheng-wen
        affil: Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou 510006, Guangdong, China
      sug:
        subj:
          Alzheimer's Disease Classification
          Alzheimer's Disease Diagnosis
          Neurology
          Neurosurgery
          Academic Medical Centers
          Neurodegenerative Diseases Diagnosis
          Alzheimer's Disease Physiopathology
          Biological Markers
          Neuroradiography
          Cognition Evaluation
          Aging
          Patient Assessment
          Diagnosis, Differential
          China
      ab: Alzheimer's disease (AD) is a common neurodegenerative disease in the elderly. Early diagnosis and prediction plays an important role in early intervention and delaying disease progression of AD. This paper focused on the principles and process of pattern classification method, and its application in the clinical study and auxiliary diagnosis of AD. The biomarkers, neuroimaging and cognitive ability scales are important features for pattern classification. Various classification algorithms including Bayesian networks, decision trees, support vector machines (SVM) and multilayer perception have been adopted to distinguish AD, mild cognitive impairment (MCI) and normal aging subjects. Besides, they can effectively trace and analyze MCI patients.
      pubtype: Academic Journal
      doctype:
        abstract
        review
        Journal Article
      ougenre: Article
    language: Chinese
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