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A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening
Lihua Chen1, Meiwei Zhang2, Weihua Yu3
1Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Journal of Alzheimer'S Disease : JAD
|February 2, 2024
Summary
A new automated Mini-Mental State Examination (MMSE) tool accurately screens cognitive performance in older adults. This digital assessment shows high consistency with physician ratings, offering a promising solution for cognitive health evaluations.
Area of Science:
- Gerontology
- Digital Health
- Cognitive Science
Background:
- Global population aging increases demand for effective cognitive assessment tools.
- Digital innovations are crucial for evaluating cognitive performance in older adults.
- Developing automated systems can streamline cognitive screening processes.
Purpose of the Study:
- To create a fully automated Mini-Mental State Examination (MMSE) assessment model.
- To validate the consistency and accuracy of the automated MMSE ratings against physician assessments.
Main Methods:
- Developed the Automated Assessment Model for MMSE (AAM-MMSE), a 10-minute computerized tool mirroring the traditional Chinese MMSE.
- Assessed AAM-MMSE validity by comparing its ratings with physician ratings in 427 participants (average age 60.6).
Main Results:
- High interrater reliability was found between physicians and AAM-MMSE for the full scale (ICC=0.952).
- Accuracy of AAM-MMSE ratings was 87%, with a bias of 1.48 points compared to physician scores.
- While audio-related items showed high agreement, specific tasks like 'Reading and obey' had slight to fair agreement.
Conclusions:
- The Automated Assessment Model for MMSE (AAM-MMSE) provides a promising, accurate, fully automated system for cognitive screening.
- This digital tool can aid in efficiently assessing cognitive function in aging populations.
- Further refinement may improve agreement on specific cognitive tasks within the automated assessment.
Keywords:
Alzheimer’s diseaseMini-Mental State
Examinationautomated
assessmentcognitive functioncognitive screeningcomputer-related
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