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Usefulness Of Machine Learning In Predicting Clinical Outcome In COVID 19

Usefulness Of Machine Learning In Predicting Clinical Outcome In COVID 19

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/06/043038
Enrollment
600
Registered
2022-06-06
Start date
Unknown
Completion date
Unknown
Last updated
2022-06-27

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

Conditions

Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhere

Interventions

None listed

Sponsors

BANAGLORE MEDICAL COLLEGE
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: PATIENTS DIAGNOSED WITH COVID AND ADMITTED TO ICU

Exclusion criteria

Exclusion criteria: PATIENTS DIAGNOSED WITH COVID AND NOT ADMITTED TO ICU PATIENTS WITHOUT COVID

Design outcomes

Primary

MeasureTime frame
PREDICTING PROBABILITY OF MORTALITY AT THE TIME OF ADMISSIONTimepoint: At the time of admission, at the time of discharge—

Secondary

MeasureTime frame
PROBABILITY OF SURVIVALTimepoint: AT THE TIME OF ADMISSION—

Countries

India

Contacts

Public ContactVENKATA SANDEEP EADARA

Bangalore Medical College and Research Institute

suri.c13@gmail.com9845489724

Outcome results

None listed

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