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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

Mild cognitive impairment and cognitive impairment, no dementia: Part A, concept and diagnosis

Howard Chertkow1, Ziad Nasreddine, Yves Joanette

  • 1Bloomfield Centre for Research in Aging, Lady Davis Institute for Medical Research, Sir Mortimer B. Davis-Jewish General Hospital, McGill University, Montreal, Quebec, Canada. howard.chertkow@mcgill.ca

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|July 15, 2009
PubMed

Insights

Mild cognitive impairment (MCI) and cognitive impairment, no dementia (CIND) represent states between normal cognition and dementia. New diagnostic tools aid family physicians in identifying MCI.

Area of Science:

  • Gerontology
  • Neurology
  • Psychiatry

Background:

  • Mild cognitive impairment (MCI) and cognitive impairment, no dementia (CIND) are debated terms for cognitive states between normal aging and dementia.
  • Accurate classification and diagnosis are crucial for timely intervention and management.

Purpose of the Study:

  • To review current literature on the classification, prognosis, and diagnosis of MCI and CIND.
  • To present evidence-based recommendations from the Third Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD3).

Main Methods:

  • Literature review on MCI and CIND classification, prognosis, and diagnostic approaches.
  • Consensus meeting of experts at the CCCDTD3 in Montreal, 2006.

Main Results:

  • New diagnostic tools, like the Montreal Cognitive Assessment, simplify MCI identification for primary care physicians.
  • The conference provided updated, evidence-based recommendations for diagnosing and treating dementia-related conditions.

Conclusions:

  • MCI and CIND require clear diagnostic criteria and accessible assessment tools.
  • Advances in cognitive assessment facilitate earlier detection and management of cognitive decline in the elderly.

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