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Diabetes Risk assessment model

Development of predictive system for diagnosing the risk of Diabetes using machine learning techniques - DM predictive model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/07/043988
Enrollment
1000
Registered
2022-07-13
Start date
Unknown
Completion date
Unknown
Last updated
2024-03-04

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

Conditions

None listed

Interventions

None listed

Sponsors

Ministry of AYUSH Govt of India
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1000 participants (patients and healthy volunteers)

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Collection of data from target population regarding risk assessment questionnaireTimepoint: One time analysis—

Secondary

MeasureTime frame
Development of scoring and percentage risk assessment using Machine learning technology.Timepoint: One time analysis—

Countries

India

Contacts

Public ContactDr Kavya N

Central Ayurveda Research Institute, Bengaluru

dr.kavya.ayur@gmail.com9886084305

Outcome results

None listed

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