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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: The dilemma

Charles Pinto1, Alka A Subramanyam

  • 1Department of Psychiatry, TN Medical College and BYL Nair Hospital, Mumbai - 400008, India.

Indian Journal of Psychiatry
|March 19, 2011
PubMed

Insights

Mild cognitive impairment (MCI) affects many older adults, increasing dementia risk. Early detection and management, including risk factor control and new therapies, are crucial for better outcomes.

Area of Science:

  • Neurology
  • Geriatrics
  • Cognitive Science

Background:

  • Memory complaints are common in aging populations, raising concerns about progression to dementia.
  • Mild cognitive impairment (MCI) is recognized as a potential precursor stage to dementia.
  • Varied nomenclature and diagnostic criteria necessitate standardized approaches.

Purpose of the Study:

  • To highlight the prevalence and conversion rates of MCI to dementia.
  • To emphasize the need for improved diagnostic tools and biomarkers for MCI.
  • To discuss current and emerging treatment strategies for MCI and Alzheimer's Disease.

Main Methods:

  • Review of existing literature on MCI prevalence, diagnosis, and management.
  • Analysis of diagnostic criteria from organizations like the American Academy of Neurology and EADC.
  • Examination of treatment responses to Alzheimer's Disease medications and non-pharmacological interventions.

Main Results:

  • MCI prevalence varies widely (3-59%), with 8-15% converting to dementia.
  • Neuropsychological tests, neuroimaging, and biological markers are essential for MCI detection.
  • Current Alzheimer's Disease medications show limited long-term efficacy in MCI, prompting research into disease-modifying drugs.

Conclusions:

  • Coordinated efforts are needed to enhance the detection and management of MCI.
  • Integrating risk factor management (hypertension, diabetes) and non-pharmacological approaches (exercise, social networking) is vital.
  • Further research into disease-modifying drugs offers promise for future MCI and dementia treatment.
Keywords:
Cognitioncriteriadiagnosismedicationsmemorynomenclaturerisk factors

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