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医疗呼叫事件的深度持续学习 文本分类 在数据集的存在下转移数据集

Pablo Ferri1, Vincenzo Lomonaco2, Lucia C Passaro2

  • 1Biomedical Data Science Laboratory (BDSLab), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València (UPV), Valencia, Spain.

Computers in biology and medicine
|May 8, 2024
PubMed
概括

这项研究表明,持续学习 (CL) 有效地适应了深度学习模型,以优先考虑紧急医疗呼叫. 尽管随着时间的推移改变了数据分布,但CL技术显著提高了模型性能.

关键词:
持续的学习 持续的学习数据集的转移数据集的转移深度学习是一种深度学习.紧急医疗呼叫事件 紧急医疗呼叫事件紧急医疗调度 紧急医疗调度自然语言处理自然语言处理.

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