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使用基于机器学习的计算机自适应测试 (ML-CAT) 缩短麦克阿瑟-贝茨沟通开发库存

Diana Saker, Haya Salameh, Hila Gendler-Shalev

    IEEE journal of biomedical and health informatics
    |February 11, 2026
    PubMed
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    机器学习与计算机自适应测试 (ML-CAT) 结合,大大缩短了MacArthur-Bates通信开发库存 (MB-CDI) 的时间,用于评估早期的词汇发展,提高效率和可靠性.

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