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Clinical Trial Summary

This study leverages a modernized digital version of a well-known cognitive screening tool to examine pre and post operative cognitive function after surgery in adults age 65 years or more. Machine learning algorithms will be applied to the hospital wide standard of care cognitive metric to identify risk for post-operative cognitive complications.


Clinical Trial Description

This proposal innovatively leverages a brief but informative digital test with machine learning to examine the subtlety of pre-surgery cognition within an extremely large number of older individuals screened preoperatively within an academic tertiary medical center. It also incorporates a unique group of well characterized non-surgery peers for demographic matching to assist with normal versus abnormal machine learning analyses. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT03175302
Study type Observational
Source University of Florida
Contact Catherine Price, Ph.D.
Phone 352-494-6999
Email cep23@phhp.ufl.edu
Status Recruiting
Phase
Start date June 28, 2018
Completion date May 31, 2024

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