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Result: Development and application of COVID-19 intelligent image classification system based on deep learning

Title:
Development and application of COVID-19 intelligent image classification system based on deep learning
Authors:
Jingfeng Zhang, Jiaying Xu
Publisher Information:
Hwa Mei Hospital, University of Chinese Academy of Sciences, 2020.
Publication Year:
2020
Document Type:
Report Report
Language:
English
Access URL:
https://trialsearch.who.int/Trial2.aspx?TrialID=ChiCTR2000030830
Other URLs:
http://www.chictr.org.cn/showproj.aspx?proj=51009
Health Condition(s) or Problem(s) studied:
Novel Coronavirus Pneumonia (COVID-19)
Interventions:
Case series:Nil
Key inclusion & exclusion criteria:
Exclusion criteria: Confirmed cases who had the organ transplantation were excluded following the latest guideline of diagnostic and treatment Covid-19 issued by China Health Committee.

Inclusion criteria: All patients hospitalized for novel coronavirus pneumonia in Hwa Mei Hospital, University of Chinese Academy Sciences from January 2020 were enrolled. The subjects were included the confirmed cases following the latest guideline of diagnostic and treatment Covid-19 issued by China Health Committee, and suspected patients admitting in isolation and observation ward during the same study period.
Primary Outcomes:
Abnormalities on chest CT;Exposure to source of transmission within past 14 days
Recruitment Status:
Recruiting
Secondary Outcomes:
Sex;Age;fever;temperature;cough;WBC;CRP;Smoking history;headache;sore throat;fatigue;hemoptysis;shortness of breath;nausea;sputum production;myalgia or arthralgia;diarrhea;Lymphocyte count;Platelet count;Procalcitonin;influenza A;influenza B
Study Design:
Sequential
Study Type:
Observational study
Target Sample Size:
Case series:150
Accession Number:
edsict.ChiCTR2000030830
Database:
International Clinical Trials Registry Platform ICTRP