Using Mouth Health and Machine Learning to Help Spot Type 2 Diabetes
Tests computer models on mouth health data to predict type 2 diabetes in older adults.
Plain-language title generated from the registry record
Registry title: Oral Health Parameter-Based Diabetes Type 2 Indication Using Machine Learning
Key facts
- Where
- Karlskrona, SwedenSee the site
Where in Sweden
- Department of Health, Blekinge Institute of TechnologyKarlskrona, SwedenNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Blekinge Institute of Technology
- Trial code
- NCT06981286
- Record updated
- 20 May 2025
- Original description
This study aims to explore the potential of using machine learning (ML) algorithms to predict Diabetes type2, 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 type 2 diabetes in individuals with mild cognitive impairment aged 60 and above.Read full original descriptionShow less
Oral Health Parameter-Based Diabetes Type 2 Indication Using Machine Learning in Older Individuals With Mild Cognitive Impairment
This study aims to explore the potential of using machine learning (ML) algorithms to predict Diabetes type2, 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 type 2 diabetes in individuals with mild cognitive impairment aged 60 and above.
Inclusion: Individuals aged 60 years or older; Participants with recorded oral health parameters with or without Diabetes type2.
Exclusion: Individuals with Diabetes type1.