Wenjing Xiao

Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases

Wuhan, 430022

China

SCHOLARLY PAPERS

3

DOWNLOADS

451

SSRN CITATIONS

2

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Short Term Outcomes and Risk Factors for Mortality in Patients with COVID-19 in Wuhan, China: A Retrospective Study

Number of pages: 37 Posted: 23 Mar 2020
Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Scientific Research, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Pharmacology, Huazhong University of Science and Technology - Department of Pharmacy and Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases
Downloads 205 (207,079)
Citation 5

Abstract:

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COVID-19, Survivor, Non-survivor, Independent predictor of mortality, nomagram

2.

A 'Burning Point' Is Found Before the Composite End Point Event Happened in Critically Ill Patients with COVID-19: A Multicenter Retrospective Study

Number of pages: 46 Posted: 20 Apr 2020
Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Epidemiology and Biostatistics, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Scientific Research, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, The Wuhan Union Red Cross Hospital - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Center for Translational Medicine, Huazhong University of Science and Technology - Department of Respiratory and Critical Care Medicine, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - Department of Anesthesiology and Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases
Downloads 204 (207,939)
Citation 1

Abstract:

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Novel Coronavirus Disease (COVID-19); Severe and critically ill patients; Composite end point event (CEPE); Burning point; Early warning system; High-risk period; Change pattern; Pseudo-improvement point; Nomogram; Linear mixed model (LMM)

3.

Non-NAT Definite Diagnosis Models of COVID-19 Based on Hematological Features

Number of pages: 15 Posted: 14 Dec 2020
Huazhong University of Science and Technology - School of Computer Science and Technology, Huazhong University of Science and Technology - Department of Clinical Laboratory, Huazhong University of Science and Technology - School of Computer Science and Technology, Huazhong University of Science and Technology - School of Computer Science and Technology, Wuhan University of Technology - School of Information Engineering, Huazhong University of Science and Technology - Department of Clinical Laboratory, Huazhong University of Science and Technology - Department of Clinical Laboratory, Huazhong University of Science and Technology - School of Computer Science and Technology, Huazhong University of Science and Technology - NHC Key Laboratory of Pulmonary Diseases, Huazhong University of Science and Technology - School of Computer Science and Technology, Wuhan University - Department of Psychiatry, The Chinese University of Hong Kong (CUHK) - Shenzhen Institute of Artificial Intelligence and Robotics for Society, Wuhan University - Department of Psychiatry, Huazhong University of Science and Technology - Research Center for Tissue Engineering and Regenerative Medicine, Huazhong University of Science and Technology - Research Center for Tissue Engineering and Regenerative Medicine and Huazhong University of Science and Technology - School of Computer Science and Technology
Downloads 42 (562,848)

Abstract:

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COVID-19; non-NAT; machine learning; hematological features; optimum feature set