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Updated: Apr 18, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Polynesian adaptation of the Mini-Mental State Examination]
1Centre hospitalier de Polynésie française, avenue du Général-de-Gaulle, 50484 Pirae, Tahiti, Polynésie française.
Researchers developed a Polynesian version of the Mini-Mental State Examination (MMSE) for cognitive assessment. The new Polynesian MMSE (P-MMSE) demonstrated good sensitivity and specificity in detecting Alzheimer disease, with a general cut-off score of ≤23.
Area of Science:
- Neuroscience
- Psychometrics
- Gerontology
Background:
- Cognitive assessment tools require cultural adaptation for diverse populations.
- The Mini-Mental State Examination (MMSE) is widely used but may have limitations in non-Western contexts.
Purpose of the Study:
- To develop and validate a Polynesian version of the MMSE (P-MMSE).
- To establish culturally appropriate cognitive assessment methods for French Polynesia.
Main Methods:
- Adaptation of the French MMSE for Polynesian cultural context.
- Validation using healthy participants (n=112, n=112, and n=46) and Alzheimer disease patients (n=17).
- Analysis of age and educational level effects on cognitive scores.
Main Results:
- Significant dissociation observed between the French and Polynesian MMSE versions.
- Age (r=-0.45) and educational level (r=-0.25) significantly impacted global performance.
- Defined new cut-off scores with improved sensitivity and specificity.
- A general cut-off score (≤23) achieved 82% sensitivity and 75% specificity for Alzheimer disease detection.
Conclusions:
- The Polynesian MMSE (P-MMSE) is a valid and reliable tool for cognitive screening in Polynesian populations.
- Culturally adapted cognitive assessments are crucial for accurate diagnosis.
- The P-MMSE aids in early detection of Alzheimer disease within its target demographic.
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