Artificial intelligence and machine learning for Covid 19

Computational Identification, Validation and Prediction of COVID 19 using Artificial Intelligence (AI) and Machine Learning (ML)

Status

Active, not recruiting

Phases

Phase 1

Study type

Observational

Source

CTRI

Registry ID

CTRI/2020/07/026832

Enrollment

100

Registered

2020-07-27

Start date

Unknown

Completion date

Unknown

Last updated

2021-11-24

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

Conditions

Health Condition 1: PCS-

Interventions

Control Intervention1: NIL: Nil

Eligibility

Inclusion criteria

Inclusion criteria: Confirmed Positive cases of COVID 19

Exclusion criteria

Exclusion criteria: non covid 19 patients

Design outcomes

Primary

Measure	Time frame
The early identification and prediction is the importance of the proposed project to prevent the spread of disease.From the above literatures it is clearly known that there are no previous studies related to Artificial Intelligence and Machine Learning based short-term forecast of Covid 19 at the initial stage. Hence this research work will be useful for predicting Covid 19 in advanceTimepoint: 6 months	—

Measure

Time frame

The early identification and prediction is the importance of the proposed project to prevent the spread of disease.From the above literatures it is clearly known that there are no previous studies related to Artificial Intelligence and Machine Learning based short-term forecast of Covid 19 at the initial stage. Hence this research work will be useful for predicting Covid 19 in advanceTimepoint: 6 months

—

Secondary

Measure	Time frame
spread of infection can be controlled by AI predictionTimepoint: 3 months	—

Countries

India

Contacts

Public ContactDr Mukesh PR

ACS Engineering College

vsmprm@gmail.com7760998700

Outcome results

None listed

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