| 基于多尺度卷积和长短期记忆神经网络的临床危重症疾病预警模型 |
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| 引用本文： | 王天罡,马红叶,蔡宏伟.基于多尺度卷积和长短期记忆神经网络的临床危重症疾病预警模型[J].医学信息学杂志,2020,41(4):41-45. |
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| 作者姓名： | 王天罡 马红叶 蔡宏伟 |
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| 作者单位： | 西安工程大学计算机科学学院 西安 710048;西安交通大学第一附属医院网络信息部 西安 710061,西安交通大学第一附属医院重症医学科 西安 710061,西安交通大学第一附属医院网络信息部 西安 710061 |
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| 基金项目： | 西安交通大学第一附属医院院基金软科学项目“基于日常临床数据的轻量级数据仓库及检索软件”（项目编号：2018RKX-04）；陕西省社会发展科技公关项目“新药临床试验受试者随机分组及药品管理系统关键技术研究”（项目编号：2016SF-006）。 |
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| 摘 要： | 介绍基于多尺度卷积和长短期记忆神经网络的临床危重症疾病预警模型设计与构建,以2 198例危重症患者为研究对象,对模型进行验证,结果表明该模型预测准确率较高,有助于发掘患者数据与病情变化隐藏的关联性,从而辅助医疗决策。
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| 关 键 词： | 多尺度卷积神经网络 长短期记忆神经网络 急性肾损伤 疾病预警 |
| 收稿时间： | 2019/10/4 0:00:00 |
Clinical Critical Disease Early Warning Model Based on Multi-scale Convolution and Long Short Term Memory Neural Network |
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| WANG Tiangang,MA Hongye and CAI Hongwei.Clinical Critical Disease Early Warning Model Based on Multi-scale Convolution and Long Short Term Memory Neural Network[J].Journal of Medical Informatics,2020,41(4):41-45. |
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| Authors: | WANG Tiangang MA Hongye and CAI Hongwei |
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| Institution: | College of Computer Science, Xi''an Polytechnic University, Xi''an 710048;Department of Network Information, The First Affiliated Hospital of Xi''an Jiaotong University, Xi''an 710061, China,ICU, The First Affiliated Hospital of Xi''an Jiaotong University, Xi''an 710061, China and Department of Network Information, The First Affiliated Hospital of Xi''an Jiaotong University, Xi''an 710061, China |
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| Abstract: | The paper introduces the design and building of clinical critical disease early warning model based on multi-scale Convolution Neural Networks(CNN) and Long Short Term Memory (LSTM) neural network. Taking 2 198 critically ill patients as the object of study, it conducts an experiment towards the model. The results show that the prediction accuracy of the model is higher, which is helpful to explore the hidden correlation between patient data and changes in patients'' conditions, so as to offer assistance in medical decision-making. |
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| Keywords: | multi-scale Convolutional Neural Networks(CNN) Long Short Term Memory(LSTM) Acute Kidney Injury(AKI) disease early warning |
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