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Predicting the 28-day Mortality of COVID-19 Patients Utilizing a Diverse Array of Machine Learning Techniques: Model Development and External Validation Study

Predicting the 28-day Mortality of COVID-19 Patients Utilizing a Diverse Array of Machine Learning Techniques: Model Development and External Validation Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300073409
Enrollment
Unknown
Registered
2023-07-10
Start date
2023-07-10
Completion date
Unknown
Last updated
2023-07-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COVID-19 infections

Interventions

Group of patients who died within 28 days:none
Group of patients who survived within 28 days:none

Sponsors

Huadong Hospital Affiliated to Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: All participants underwent COVID-19 nucleic acid testing. Inclusion criteria were: (1) aged 18 years or older, (2) diagnosed with COVID-19 as either mild, moderate, severe, or critical according to the "Diagnosis and Treatment Protocol for Novel Coronavirus Infection (Trial Version 10)" (3) for prospectively collected patient data, consented to participate in the trial and signed the informed consent form.

Exclusion criteria

Exclusion criteria: Patients with incomplete medical records

Design outcomes

Primary

MeasureTime frame
COVID-19 nucleic acid testing;Complete blood count;Blood biochemistry parameters;Cardiac enzyme profile;Area under the curve (AUC) of the receiver operating characteristic (ROC) curve;Area under the precision-recall curve (AUPRC);—

Countries

China

Contacts

Public ContactTao Sha

Huadong Hospital Affiliated to Fudan University

zephyr870731@126.com+86 136 2178 7722

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026