| 新生儿危重症预警决策关键技术研究 |
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| 引用本文： | 何念芹,李理,王红迁,黄荣,晏玲. 新生儿危重症预警决策关键技术研究[J]. 医学信息学杂志, 2020, 41(2): 52-54,80 |
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| 作者姓名： | 何念芹 李理 王红迁 黄荣 晏玲 |
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| 作者单位： | 陆军军医大学第一附属医院儿科 重庆 400038,陆军军医大学第一附属医院信息科 重庆 400038,陆军军医大学第一附属医院信息科 重庆 400038,陆军军医大学第一附属医院信息科 重庆 400038,陆军军医大学第一附属医院儿科 重庆 400038 |
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| 摘 要： | 设计并实现新生儿危重症监护预警系统，详细介绍系统总体目标、关键技术、整体架构、功能模块等，指出该系统能够为医生提供诊疗决策支持，进而提高儿科医疗质量和服务水平。
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| 关 键 词： | 人工智能 危重症 智能预警 |
| 修稿时间： | 2019-05-27 |
Study on Key Technology of Early Warning Decision-making of Neonatal Critical Disease |
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| HE Nianqin,LI Li,WANG Hongqian,HUANG Rong and YAN Ling. Study on Key Technology of Early Warning Decision-making of Neonatal Critical Disease[J]. Journal of Medical Informatics, 2020, 41(2): 52-54,80 |
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| Authors: | HE Nianqin LI Li WANG Hongqian HUANG Rong YAN Ling |
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| Affiliation: | Department of Pediatrics, The First Hospital Affiliated Army Medical University, Chongqing 400038, China,Department of Information, The First Hospital Affiliated Army Medical University, Chongqing 400038, China,Department of Information, The First Hospital Affiliated Army Medical University, Chongqing 400038, China,Department of Information, The First Hospital Affiliated Army Medical University, Chongqing 400038, China and Department of Pediatrics, The First Hospital Affiliated Army Medical University, Chongqing 400038, China |
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| Abstract: | The early warning system for neonatal critical disease has been designed and realized.The paper introduces the overall target, key technology, holistic architecture and functional modules of the system in detail, as well as points out that the system is able to provide doctors with diagnosis and treatment decision support, which further improves pediatric medical treatment quality and service level. |
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| Keywords: | Artificial Intelligence(AI) critical disease smart warning |
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