Official Title
a Retrospective Study of Neural Network Model to Dynamically Quantificate the Severity in COVID-19 Disease
Brief Summary

The research aim to collect large samples of COVID-19 disease patients with clinical symptoms, laboratory and imaging examination data. Screening the biological indicators which are related to the occurrence of severe diseases. Then, investigators using artificial intelligence (AI) technology deep learning method to find a prediction model that can dynamically quantify COVID-19 disease severity.

Unknown status
COVID-19 Disease

Other: other

clinical diagnosis

Eligibility Criteria

Inclusion Criteria:

- Patients of COVID-19 disease confirmed by virus nucleic acid RT-PCR and CT

Exclusion Criteria:

- unconfirmed suspected cases

- Patients during pregnancy and lactation

- incomplete clinical data

- inestigators considered patients ineligible for the trial

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: 80 Years
Countries
China
Locations

Xinqiao Hospital of Chongqing
Chongqing, China

Investigator: Sun JG
sunjg09@aliyun.com

Contacts

Jianguo Sun
023-68774490
sunjg09@aliyun.com

Xinqiao Hospital of Chongqing
NCT Number
MeSH Terms
COVID-19