相关实验视频

Updated: Jul 27, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

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LGTRL-DE:本地和全球时间代表性学习与人口嵌入,用于医院死亡率预测

Mengjie Zou1, Ying An2, Hulin Kuang1

  • 1Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, PR China.

Journal of biomedical informatics
|June 9, 2023
PubMed
概括

这项研究引入了一个新的深度学习模型,LGTRL-DE,用于使用电子病历预测患者住院死亡率. 该模型有效地捕获时间数据和人口背景,优于现有方法.

关键词:
深度学习是一种深度学习.人口嵌入 人口嵌入 人口嵌入电子医疗记录电子医疗记录在医院死亡率预测预测.当地和全球时间表现.

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