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Use of AI in Cardiovascular Risk Prediction.

Artificial Intelligence & Machine Learning to predict cardiovascular & metabolic outcomes in Asian Indian urban population with Type 2 Diabetes Mellitus. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2023/07/054781
Enrollment
500
Registered
2023-07-05
Start date
Unknown
Completion date
Unknown
Last updated
2023-07-25

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

Conditions

Health Condition 1: E116- Type 2 diabetes mellitus with other specified complications

Interventions

Intervention1: Nil: Nil

Sponsors

None listed

Eligibility

Inclusion criteria

Inclusion criteria: T2DM Diabetes Duration minimum 5 year.

Exclusion criteria

Exclusion criteria: T1DM Genetic Diabetes Gestational Diabetes Terminal Illness (Cancer)

Design outcomes

Primary

MeasureTime frame
To use ML methods, as well as mediation & moderation analysis, to predict the incidence & prevalence of cardiovascular events, using nominal and scale variables; fatal or nonfatal MI, fatal and nonfatal stroke, congestive heart failure (CHF), blood pressure, body composition (anthropometry, waist circumference and DXA), exercise capacity and lipid control, using multiple variables of interest from the F-COHORT data.Timepoint: 12 MONTHS

Secondary

MeasureTime frame
To evaluate the importance of the different co-factors & scaled covariates in the training & testing samples. â?¢ To identify the different variables of importance concerning the development of (1) primary cardiovascular endpoint- fatal or nonfatal myocardial infarction, (2) fatal or nonfatal stroke, (3) occurrence of microvascular complications-retinopathy, nephropathy. â?¢ To devise and operationalize a computerized algorithmic model to predict blood pressure, lipid control, and exercise capacity. â?¢ To perform a mediation analysis to assess the direct and indirect effects of different variables in predicting cardiovascular events (MACE), in persons with T2DM.Timepoint: 12 MONTHS

Countries

India

Contacts

Public ContactDr Anoop Misra

Fortis CDOC Hospital

anoopmisra@gmail.com01149101222

Outcome results

None listed

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