PRCTC: a machine learning model for prediction of response to corticosteroid therapy in COVID-19 patients

Author:

Gao Yue12,Xiong Xiaoming12,Jiao Xiaofei12,Yu Yang12,Chi Jianhua12,Zhang Wei12,Chen Lingxi3,Li Shuaicheng3,Gao Qinglei12

Affiliation:

1. Cancer Biology Research Center, Key Laboratory of Chinese Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China

2. Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China

3. Department of Computer Science, City University of Hong Kong, Kowloon Tong 999077, Hong Kong

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Reference52 articles.

1. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2.;Coronaviridae Study Group of the International Committee on Taxonomy of Viruses;Nat Microbiol,2020

2. Coronavirus disease (COVID-19) pandemic. https://www.who.int/emergencies/diseases/novel-coronavirus-2019. 2021.

3. Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy.;Lorini;JAMA,2020

4. Should we stimulate or suppress immune responses in COVID-19? Cytokine and anti-cytokine interventions.;Sève;Autoimmun Rev,2020

5. Coronavirus infections and immune responses.;Wu;J Med Virol,2020

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