Status:
UNKNOWN
A Machine Learning Predictive Model for Sepsis
Lead Sponsor:
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Conditions:
Sepsis
Eligibility:
All Genders
1-18 years
Brief Summary
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis. Using machine learning and ...
Detailed Description
Introduction:Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis. There have been...
Eligibility Criteria
Inclusion
- diagnosed with "infection", "septic shock" or "sepsis" or "septicemia"
Exclusion
- Acute upper respiratory tract infection
- Newborns
Key Trial Info
Start Date :
April 1 2019
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
April 1 2021
Estimated Enrollment :
4500 Patients enrolled
Trial Details
Trial ID
NCT04771429
Start Date
April 1 2019
End Date
April 1 2021
Last Update
February 25 2021
Active Locations (1)
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1
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shanghai, Yangpu, China, 200092