CompletedNot Applicable

Prediction of MMSE Scores for Cognitive Impairment

Sweden693 participantsStarted 2024-06-10

Plain-language summary

This study aims to explore the potential of using machine learning (ML) algorithms to predict cognitive status, specifically MMSE scores, based on oral health and demographic data. The objective is to evaluate the effectiveness of various ML models and identify the most relevant oral health indicators for predicting MMSE scores of 30 (normal cognition) or ≤26 (cognitive impairment) in individuals aged 60 and above.

Who can participate

Age range60 Years

SexALL

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Inclusion Criteria: * Individuals aged 60 years or older. * Participants with recorded oral health parameters and MMSE scores of either 30 or ≤26. Exclusion Criteria: * Individuals with MMSE scores of 27, 28, or 29, as these scores represent a transition phase between normal cognition and cognitive impairment, which could introduce variability. * Individuals younger than 60 years.

What they're measuring

Detection perfomance

Timeframe: 5 mounths

Trial details

NCT IDNCT06611475

SponsorBlekinge Institute of Technology

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2024-10-10

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