Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study
Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study
Zhuo Zheng
1
* , MS ;
Jiawei Luo
2
* , PhD ;
Yingchao Zhu
1
* , MS ;
Lei Du
1
, MD ;
Lan Lan
3
, PhD ;
Xiaobo Zhou
4
, PhD ;
Xiaoyan Yang
2
, PhD ;
Shixin Huang
5
, PhD
1
Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, China
2
West China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China
3
Information Management and Data Center, Beijing Tiantan Hospital, Beijing, China
4
Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
5
Department of Scientific Research, The People’s Hospital of Yubei District of Chongqing City, Chongqing, China
*these authors contributed equally
Corresponding Author:
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Shixin Huang, PhD
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Department of Scientific Research
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The People’s Hospital of Yubei District of Chongqing City
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23 Central Park North Road
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Yubei District
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Chongqing 401120
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China
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Phone:
86 15803659045
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Email: d200101011@stu.cqupt.edu.cn