预测护理需要使用生命体征和生物标志物的代理数据:深度学习模型的应用

Yunmi Baek1, Kihye Han2, Eunjoo Jeon3

  • 1Department of Nursing, Hallym University Medical Center, Gyeonggi-do, South Korea.

PubMed
概括

深度学习模型,包括循环神经网络 (RNN) 和长期短期记忆 (LSTM),有效地预测住院患者的护理需求. 这些先进模型的性能优于传统的回归,改善了护理工作量和人员决策.

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