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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Mild cognitive impairment: how to find your way around as general practitioners?]
Luana Duvernay1, Melina Li How Cheong1, Patrizia D'amelio1
1Service de gériatrie, Centre hospitalier universitaire vaudois, 1011 Lausanne.
Abstract:
This article explores the diagnosis of Mild Cognitive Impairment (MCI) in general practice. It examines the subtypes of MCI and their specific diagnostic criteria for different neurodegenerative conditions such as Alzheimer's disease, Parkinson's disease, fronto-temporal dementia and cerebrovascular disorders. It highlights the preferential use of the Montreal Cognitive Assessment (MoCA) over the Mini-Mental State Examination (MMSE) for detecting MCI. A MoCA score below the norm (< 26 points) warrants a more thorough diagnostic work-up, including a full neuropsychological assessment and possibly brain imaging.
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