Nature Communications (Oct 2020)
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
- Yue Gao,
- Guang-Yao Cai,
- Wei Fang,
- Hua-Yi Li,
- Si-Yuan Wang,
- Lingxi Chen,
- Yang Yu,
- Dan Liu,
- Sen Xu,
- Peng-Fei Cui,
- Shao-Qing Zeng,
- Xin-Xia Feng,
- Rui-Di Yu,
- Ya Wang,
- Yuan Yuan,
- Xiao-Fei Jiao,
- Jian-Hua Chi,
- Jia-Hao Liu,
- Ru-Yuan Li,
- Xu Zheng,
- Chun-Yan Song,
- Ning Jin,
- Wen-Jian Gong,
- Xing-Yu Liu,
- Lei Huang,
- Xun Tian,
- Lin Li,
- Hui Xing,
- Ding Ma,
- Chun-Rui Li,
- Fei Ye,
- Qing-Lei Gao
Affiliations
- Yue Gao
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Guang-Yao Cai
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Wei Fang
- GNSS Research Center, Wuhan University
- Hua-Yi Li
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Si-Yuan Wang
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Lingxi Chen
- City University of Hong Kong Shenzhen Research Institute
- Yang Yu
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Dan Liu
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Sen Xu
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Peng-Fei Cui
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Shao-Qing Zeng
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Xin-Xia Feng
- Department of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Rui-Di Yu
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Ya Wang
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Yuan Yuan
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Xiao-Fei Jiao
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Jian-Hua Chi
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Jia-Hao Liu
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Ru-Yuan Li
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Xu Zheng
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Chun-Yan Song
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Ning Jin
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Wen-Jian Gong
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Xing-Yu Liu
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Lei Huang
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology
- Xun Tian
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology
- Lin Li
- Department of Obstetrics and Gynecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science
- Hui Xing
- Department of Obstetrics and Gynecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science
- Ding Ma
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Chun-Rui Li
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Fei Ye
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Qing-Lei Gao
- National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
- DOI
- https://doi.org/10.1038/s41467-020-18684-2
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 10
Abstract
Methods to stratify patients according to mortality risk are essential to allocate limited heath resources during the COVID-19 crisis. Here, using machine learning methods, the authors present a mortality risk prediction model for COVID-19 that uses patients’ clinical data on admission to stratify patients by mortality risk.
