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Updated: Jun 25, 2025

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一个护理笔记意识到深度神经网络,用于预测医院出院后的死亡风险

Yong-Zhen Huang1, Yan-Ming Chen2, Chih-Cheng Lin2

  • 1Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan; Department of Nursing, National Taiwan University Cancer Center, Taipei, Taiwan.

International journal of nursing studies
|May 24, 2024
PubMed
概括

本研究介绍了关键护理描述提取器 (CNDE) 和NurnaNet深度学习模型,用于使用非结构化护理记录预测患者死亡风险. 该系统有效地识别高风险患者,以改善ICU后护理和再接收预防.

关键词:
来自变压器的双向编码器表示计算机 计算机 计算机电子健康记录是电子健康记录.这就是MIMIC-III.死亡率 死亡率 死亡率自然语言处理自然语言处理.神经网络的神经网络的神经网络护理记录 护理记录有监督的机器学习.

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