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COVID-19 diagnosis and severity prediction using blood tests and machine learning

Diagnosis and assessment of COVID-19 with smart health care and severity classification using machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/12/038462
Enrollment
4930
Registered
2021-12-06
Start date
Unknown
Completion date
Unknown
Last updated
2022-02-21

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

Krishnaraj Chadaga
Lead Sponsor
Manipal Institute of Technology
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: All people above eighteen will be considered

Exclusion criteria

Exclusion criteria: Below 18

Design outcomes

Primary

MeasureTime frame
Machine learning models that diagnose and predict COVID-19 severityTimepoint: Four to eight weeks—

Secondary

MeasureTime frame
Machine learning modelsTimepoint: Four to eight weeks—

Countries

India

Contacts

Public ContactSrikanth Prabhu

Manipal Institute of Technology

srikanth.prabhu@manipal.edu

Outcome results

None listed

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