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Predicting cognitive function in older individuals using machine learning

Application of machine learning for predicting cognitive functioning in community dwelling elderly individuals

Status
Active, not recruiting
Phases
Phase 1Phase 2
Study type
Observational
Source
CTRI
Registry ID
CTRI/2020/07/026272
Enrollment
150
Registered
2020-07-01
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

None listed

Interventions

None listed

Sponsors

Pooja P
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Data collected by the Department of Community Medicine, KMC for the project titled â??A community based assessment of visual, hearing and psycho-social morbidities among geriatric population in coastal Karnataka, Indiaâ?? (Funded by ICMR during 2015-17, Grant ID: File No.14/18/CFP/GER/2O1I/NCD-II) will be used for the study

Exclusion criteria

Exclusion criteria:

Design outcomes

Primary

MeasureTime frame
The sensitivity and specificity of the newly developed Machine learning modelTimepoint: January 2021—

Secondary

MeasureTime frame
NILTimepoint: Not Applicable—

Countries

India

Contacts

Public ContactPooja P

Manipal College of Health Professions

hari.prakash@manipal.edu9886135522

Outcome results

None listed

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