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Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease.

Russell BinacoNicholas CalzarettoJacob EpifanoSean McGuireMuhammad UmerSheina EmraniVictor WassermanDavid J LibonRobi Polikar
Published in: Journal of the International Neuropsychological Society : JINS (2020)
Early identification of emergent neurodegenerative illness is criterial for better disease management. Applying machine learning to standard neuropsychological tests promises to be an effective first line screening method for classification of non-MCI and MCI subtypes.
Keyphrases
  • mild cognitive impairment
  • machine learning
  • cognitive decline
  • artificial intelligence
  • deep learning
  • big data