Reducing Educational Bias in Cognitive Assessment via Dynamic Support Vector Machine Weighting: Validation Study on an Education-Stratified Dataset

Education-stratified weighting enhances the fairness and interpretability of MMSE-based screening. External validation confirmed generalizability, although multicenter studies are needed.

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Publication Details

Journal
JMIR Rehabilitation and Assistive Technologies
Published
2026-02-25
DOI
https://doi.org/10.2196/79841
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00
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article

Reducing Educational Bias in Cognitive Assessment via Dynamic Support Vector Machine Weighting: Validation Study on an Education-Stratified Dataset

SuHui Chen, Chi Ma, Mengting Yu, Lijuan Xia et al.
JMIR Rehabilitation and Assistive Technologies
Psychometric Methodologies and Testing
article

Reducing Educational Bias in Cognitive Assessment via Dynamic Support Vector Machine Weighting: Validation Study on an Education-Stratified Dataset

SuHui Chen, Chi Ma, Mengting Yu, Lijuan Xia, Ming Wu, Qing Liu, Qi Zhang, Mengyuan Liu
article en

Abstract

Education-stratified weighting enhances the fairness and interpretability of MMSE-based screening. External validation confirmed generalizability, although multicenter studies are needed.

JMIR Rehabilitation and Assistive TechnologiesVol. 13
University of Science and Technology of China (CN), Shanghai University of Traditional Chinese Medicine (CN), Wuhu Fourth People Hospital (CN), Shuguang Hospital (CN)
Quality Education
Openalex Percentile: Top 49%
Psychometric Methodologies and Testing
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