Accurate classification of COVID-19 patients with different severity via machine learning

Chaoyang Sun; Yong Bai; Dongsheng Chen; Liang He; Jiacheng Zhu; Xiangning Ding; Lihua Luo; Yan Ren; Hui Xing; Xin Jin; Gang Chen

doi:10.1002/ctm2.323

Accurate classification of COVID-19 patients with different severity via machine learning

Clin Transl Med. 2021 Mar;11(3):e323. doi: 10.1002/ctm2.323.

Authors

Chaoyang Sun^{1

2}, Yong Bai³, Dongsheng Chen³, Liang He^{1

2}, Jiacheng Zhu^{3

4}, Xiangning Ding^{3

4}, Lihua Luo^{3

4}, Yan Ren³, Hui Xing⁵, Xin Jin^{3

6

7}, Gang Chen^{1

2}

Affiliations

¹ Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
² Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
³ BGI-Shenzhen, Shenzhen, China.
⁴ BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.
⁵ Department of Obstetrics and Gynecology, Xiangyang Central Hospital, Hubei University of Arts and Science, Xiangyang, China.
⁶ School of Medicine, South China University of Technology, Guangzhou, China.
⁷ Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI-Shenzhen, Shenzhen, China.

No abstract available

Publication types

Letter
Research Support, Non-U.S. Gov't

MeSH terms

COVID-19* / diagnosis
COVID-19* / metabolism
Female
Humans
Machine Learning*
Male
SARS-CoV-2 / metabolism*
Severity of Illness Index*

Publication types

MeSH terms

Grants and funding