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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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[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.

Revue Medicale Suisse
|October 31, 2024
PubMed

Insights

Diagnosing Mild Cognitive Impairment (MCI) in general practice is crucial. The Montreal Cognitive Assessment (MoCA) is preferred over the Mini-Mental State Examination (MMSE) for detecting MCI and guiding further diagnostic steps.

Area of Science:

  • Neurology
  • Geriatrics
  • Cognitive Science

Context:

  • Mild Cognitive Impairment (MCI) diagnosis in general practice settings.
  • Increasing prevalence of neurodegenerative disorders affecting cognition.
  • Need for standardized and accessible diagnostic tools for primary care physicians.

Purpose:

  • To outline diagnostic criteria for MCI subtypes related to neurodegenerative conditions.
  • To compare the efficacy of the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) for MCI detection.
  • To guide general practitioners on subsequent diagnostic steps following cognitive screening.

Summary:

  • This article details the diagnosis of Mild Cognitive Impairment (MCI) within primary care.
  • It covers MCI subtypes linked to Alzheimer's disease, Parkinson's disease, fronto-temporal dementia, and cerebrovascular disorders.
  • The Montreal Cognitive Assessment (MoCA) is recommended over the Mini-Mental State Examination (MMSE), with scores below 26 indicating a need for comprehensive evaluation including neuropsychological testing and neuroimaging.

Impact:

  • Enhances early detection of MCI in general practice.
  • Facilitates timely referral for specialized assessment and management of neurodegenerative diseases.
  • Improves patient outcomes through prompt diagnosis and intervention strategies.

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