ArticleFrontiers in medicine2023
Chinese experts' consensus on the application of intensive care big data.
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Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7citing papers in PubMed
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7 citing papers in PubMed.
- Prognostic performance of clinical scores and biomarkers in nonagenarians after TAVR requiring ICU admission.Scientific reports · 2026Article
- Timing matters: a machine learning-driven comparison of community and hospital-onset sepsis.BMC medical informatics and decision making · 2026Article
- Early risk stratification of sepsis-related liver injury via machine learning: a multicohort study.Frontiers in medicine · 2026Article
- Associations of serum sTREM-1 and sTREM-2 with mortality and neurological prognosis in patients resuscitated from cardiac arrest: a machine learning-based approach.Frontiers in medicine · 2026Article
- A clinical prediction model for postoperative delirium following surgical treatment of femoral fractures in older adult patients: development and validation study.BMC anesthesiology · 2025Article
- Impact of diastolic blood pressure time under range on mortality and acute kidney injury in septic patients: a retrospective cohort study.BMC anesthesiology · 2025Article
- Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients.Frontiers in physiology · 2025Article
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Authors and funding
69 authors.
Longxiang Su *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.
Shengjun Liu *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.
Yun LongDepartment 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.
Chaodong ChenDepartment of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Kai ChenDepartment 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.
Ming ChenDepartment of Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Yaolong ChenEvidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Yisong ChengDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.
Yating CuiDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Qi DingDepartment of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Renyu DingDepartment of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Meili DuanDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Tao GaoDepartment of Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Xiaohua GuDepartment of Critical Care Medicine, Northern Jiangsu People's Hospital; Clinical Medical College, Yangzhou University, Yangzhou, China.
Hongli HeIntensive Care Unit, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine of University of Electronic Science and Technology, Chengdu, China.
Jiawei HeDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Bo HuDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Chang HuDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Rui HuangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xiaobo HuangIntensive Care Unit, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine of University of Electronic Science and Technology, Chengdu, China.
Huizhen JiangDepartment of Information Center, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Jing JiangDepartment of Critical Care Medicine, Chongqing General Hospital, Chongqing, China.
Yunping LanIntensive Care Unit, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine of University of Electronic Science and Technology, Chengdu, China.
Jun LiDepartment 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.
Linfeng LiMedical Data Research Institute, Chongqing Medical University, Chongqing, China.
Lu LiDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Wenxiong LiDepartment of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Yongzai LiInformation Network Center, QiLu Hospital, ShanDong University, Jinan, China.
Jin LinDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xufei LuoEvidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Feng LyuDepartment of Computer Science and Engineering, Central South University, Changsha, China.
Zhi MaoDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
He MiaoDepartment of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Xiaopu ShangDepartment of Information Management, Beijing Jiaotong University, Beijing, China.
Xiuling ShangDepartment 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.
You ShangDepartment of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuwen ShenIntensive Care Unit of Cardiovascular Surgery Department, Qilu Hospital of Shandong University, Jinan, China.
Yinghuan ShiNational Institute of Healthcare Data Science, Nanjing University, Nanjing, China.
Qihang SunBritish Chinese Society of Health Informatics, Beijing, China.
Weijun SunFaculty of Automation, Guangdong University of Technology, Guangzhou, China.
Zhiyun TangDepartment 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.
Bo WangDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.
Haijun WangDepartment 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.
Hongliang WangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Li WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine Peking Union Medical College, Beijing, China.
Luhao WangDepartment of Critical Care Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Sicong WangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Zhanwen WangIntensive Care Unit, XiangYa Hospital, Central South University, Changsha, China.
Zhong WangDepartment of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Dong WeiNational Institute of Healthcare Data Science, Nanjing University, Nanjing, China.
Jianfeng WuIntensive Care Unit, XiangYa Hospital, Central South University, Changsha, China.
Qin WuDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.
Xuezhong XingDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine Peking Union Medical College, Beijing, China.
Jin YangDepartment of Critical Care Medicine, Chongqing General Hospital, Chongqing, China.
Xianghong YangDepartment 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.
Jiangquan YuDepartment of Critical Care Medicine, Northern Jiangsu People's Hospital; Clinical Medical College, Yangzhou University, Yangzhou, China.
Wenkui YuDepartment of Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Yuan YuIntensive Care Unit of Cardiovascular Surgery Department, Qilu Hospital of Shandong University, Jinan, China.
Hao YuanDepartment of Critical Care Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Qian ZhaiNational Institute of Healthcare Data Science, Nanjing University, Nanjing, China.
Hao ZhangDepartment 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.
Lina ZhangIntensive Care Unit, XiangYa Hospital, Central South University, Changsha, China.
Meng ZhangDepartment of Critical Care Medicine, Chongqing General Hospital, Chongqing, China.
Zhongheng ZhangDepartment 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.
Chunguang ZhaoIntensive Care Unit, XiangYa Hospital, Central South University, Changsha, China.
Ruiqiang ZhengDepartment of Critical Care Medicine, Northern Jiangsu People's Hospital; Clinical Medical College, Yangzhou University, Yangzhou, China.
Lei ZhongDepartment 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.
Feihu ZhouDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Weiguo ZhuDepartment of General Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
big dataconsensuscritical care medicineintensive care medicinemachine learning
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What Socratic holds
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.