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Related Experiment Video

Updated: Aug 22, 2025

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

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

Published on: January 11, 2020

Conversion between the Montreal Cognitive Assessment and the Mini-Mental Status Examination.

Jael S Fasnacht¹, Alexandra S Wueest^1,2, Manfred Berres³

¹From the Memory Clinic, University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland.

Journal of the American Geriatrics Society

|November 8, 2022

Summary

This study created a conversion table for the Mini-Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. This tool aids in comparing cognitive screening results for neurocognitive disorders.

Keywords:

MMSE MoCA conversion equating equipercentile

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Last Updated: Aug 22, 2025

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Published on: February 6, 2021

Area of Science:

Neuroscience
Gerontology
Psychometrics

Background:

Early detection of cognitive decline is crucial for timely intervention and treatment.
The Mini-Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA) are widely used cognitive screening tools with distinct profiles.
Clinician preferences for MMSE or MoCA may vary, necessitating score comparability.

Conclusions:

A comprehensive MMSE-MoCA conversion table is provided for direct comparison of cognitive screening scores.
This tool is valuable for tracking cognitive changes in patients with neurocognitive disorders over time.
Facilitates consistent interpretation of cognitive screening results in clinical practice.