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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

Classification and epidemiology of MCI

Rosebud Roberts1, David S Knopman

  • 1Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA; Department of Neurology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.

Clinics in Geriatric Medicine
|October 8, 2013
PubMed

Insights

Mild cognitive impairment (MCI) is a stage between normal cognition and dementia. This review covers MCI classification, prevalence, risk factors, and outcomes, highlighting its progression to dementia.

Area of Science:

  • Neurology
  • Gerontology
  • Cognitive Science

Background:

  • Mild cognitive impairment (MCI) represents a transitional phase from normal cognition to dementia.
  • Standardized MCI classification criteria are crucial for consistent research and clinical application.
  • Individuals with MCI exhibit a significant risk of progressing to dementia.

Purpose of the Study:

  • To provide a comprehensive overview of Mild Cognitive Impairment (MCI).
  • To review the current understanding of MCI classification, incidence, and prevalence.
  • To discuss risk factors associated with MCI and its subsequent outcomes.

Main Methods:

  • Literature review of published criteria for MCI classification.
  • Synthesis of data on MCI incidence and prevalence estimates.
  • Analysis of studies reporting risk factors and outcomes for individuals diagnosed with MCI.

Main Results:

  • Recent criteria improve the comparability of MCI prevalence and incidence.
  • MCI is characterized by a high rate of progression to dementia.
  • Understanding risk factors and outcomes is vital for patient management.

Conclusions:

  • Standardized MCI classification enhances research consistency.
  • MCI is a critical stage with a notable risk of dementia progression.
  • Further research into risk factors and outcomes can inform interventions.
Keywords:
ClassificationEpidemiologyIncidenceMild cognitive impairmentPrevalenceRisk factors

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