Status:
COMPLETED
AI-Powered Fall Risk Prediction in Nursing Care
Lead Sponsor:
Inonu University
Conditions:
Accidental Falls
Risk Assessment
Eligibility:
All Genders
18+ years
Brief Summary
The goal of this study is to develop a nursing clinical decision support system for fall risk prediction using machine learning and computer vision techniques. The system is intended to offer advantag...
Detailed Description
Type of Research: This research is planned as Design and Development Research as an innovative system will be developed. Place and Time of the Research: The research will be conducted at the Physic...
Eligibility Criteria
Inclusion
- 18 years of age or older
- Accepting voluntary participation in the study
- Be able to read and write Turkish
- Being able to walk with or without support
Exclusion
- Not being able to speak or understand Turkish adequately
- Being intubated.
- To be identified.
- Being immobile
- Having a mental disability.
Key Trial Info
Start Date :
June 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
July 24 2025
Estimated Enrollment :
177 Patients enrolled
Trial Details
Trial ID
NCT07000981
Start Date
June 1 2025
End Date
July 24 2025
Last Update
December 2 2025
Active Locations (1)
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1
Turgut Özal Medical Center
Malatya, Battalgazi, Turkey (Türkiye), 44280