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Chinese experts' consensus on the application of intensive care big data

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机构: [1]Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China. [2]Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China. [3]Department of Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fuzhou, Fujian, China. [4]Department of Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China. [5]Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China. [6]Department of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China. [7]Department of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China. [8]Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning, China. [9]Department of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China. [10]Department of Critical Care Medicine, Northern Jiangsu People's Hospital Clinical Medical College, Yangzhou University, Yangzhou, China. [11]Intensive Care Unit, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine of University of Electronic Science and Technology, Chengdu, China. [12]Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China. [13]Department of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. [14]Department of Information Center, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China. [15]Department of Critical Care Medicine, Chongqing General Hospital, Chongqing, China. [16]Medical Data Research Institute, Chongqing Medical University, Chongqing, China. [17]Information Network Center, QiLu Hospital, ShanDong University, Jinan, China. [18]Department of Computer Science and Engineering, Central South University, Changsha, China. [19]Department of Information Management, Beijing Jiaotong University, Beijing, China. [20]Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. [21]Intensive Care Unit of Cardiovascular Surgery Department, Qilu Hospital of Shandong University, Jinan, China. [22]National Institute of Healthcare Data Science, Nanjing University, Nanjing, China. [23]British Chinese Society of Health Informatics, Beijing, China. [24]Faculty of Automation, Guangdong University of Technology, Guangzhou, China. [25]Department of Intensive Care Unit, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Emergency and Intensive Care Unit Center, Hangzhou Medical College, Hangzhou, Zhejiang, China. [26]Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. [27]Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences School of Basic Medicine Peking Union Medical College, Beijing, China. [28]Department of Critical Care Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China. [29]Intensive Care Unit, XiangYa Hospital, Central South University, Changsha, China. [30]National Clinical Research Center for Geriatric Disorders, Xiang Ya Hospital, Central South University, Changsha, China. [31]Hunan Provincial Clinical Research Center for Critical Care Medicine, Xiang Ya Hospital, Central South University, Changsha, China. [32]Department of Emergency Medicine, Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. [33]Department of General Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
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关键词: machine learning intensive care medicine big data critical care medicine consensus

摘要:
The development of intensive care medicine is inseparable from the diversified monitoring data. Intensive care medicine has been closely integrated with data since its birth. Critical care research requires an integrative approach that embraces the complexity of critical illness and the computational technology and algorithms that can make it possible. Considering the need of standardization of application of big data in intensive care, Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society, Standard Committee has convened expert group, secretary group and the external audit expert group to formulate Chinese Experts' Consensus on the Application of Intensive Care Big Data (2022). This consensus makes 29 recommendations on the following five parts: Concept of intensive care big data, Important scientific issues, Standards and principles of database, Methodology in solving big data problems, Clinical application and safety consideration of intensive care big data. The consensus group believes this consensus is the starting step of application big data in the field of intensive care. More explorations and big data based retrospective research should be carried out in order to enhance safety and reliability of big data based models of critical care field.Copyright © 2024 Su, Liu, Long, Chen, Chen, Chen, Chen, Cheng, Cui, Ding, Ding, Duan, Gao, Gu, He, He, Hu, Hu, Huang, Huang, Jiang, Jiang, Lan, Li, Li, Li, Li, Li, Lin, Luo, Lyu, Mao, Miao, Shang, Shang, Shang, Shen, Shi, Sun, Sun, Tang, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wang, Wei, Wu, Wu, Xing, Yang, Yang, Yu, Yu, Yu, Yuan, Zhai, Zhang, Zhang, Zhang, Zhang, Zhao, Zheng, Zhong, Zhou, Zhu, on behalf of Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society and Standard Committee and Chinese Writing Panel’s Consensus on the Application of Intensive Care Big Data.

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大类 | 3 区 医学
小类 | 3 区 医学:内科
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大类 | 3 区 医学
小类 | 3 区 医学:内科
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Q1 MEDICINE, GENERAL & INTERNAL
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Q1 MEDICINE, GENERAL & INTERNAL

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第一作者机构: [1]Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
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