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This paper is in the following e-collection/theme issue:

Internet for Rehabilitation (103) Dementia and Cognitive Decline (867) Machine Learning (3060) Development and Evaluation of Research Methods, Instruments and Tools (1259) Cognitive Training for the Elderly (213)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79841, first published .
Asian man coding on a computer with a neural network visualization on screen.

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

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

Authors of this article:

Qing Liu1 Author Orcid Image ;   Chi Ma2 Author Orcid Image ;   Mengyuan Liu1 Author Orcid Image ;   Suhui Chen3 Author Orcid Image ;   Mengting Yu4 Author Orcid Image ;   Lijuan Xia5 Author Orcid Image ;   Qi Zhang3 Author Orcid Image ;   Ming Wu3 Author Orcid Image
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Journals

  1. Yang M, Yang Q, Xiong G, Zhou Y, Liu H, Wu Y, Wang X, Song Y, Liu W, Tian C. Development of Machine Learning–Driven Dual-Task Gait Test Model for Cognitive Impairment Screening. Archives of Physical Medicine and Rehabilitation 2026 View