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

Published on: January 11, 2020

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Statistical anomaly detection for individuals with cognitive impairments.

Yao-Jen Chang, Kang-Ping Lin, Li-Der Chou

    IEEE Journal of Biomedical and Health Informatics
    |January 10, 2014
    PubMed
    Summary

    This study introduces a novel anomaly detection system for user trajectories, achieving high precision and recall for individuals with cognitive impairments. The system effectively identifies deviations from normal movement patterns, improving safety and independence.

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