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Oral Health Parameter-Based Diabetes Type 2 Indication Using Machine Learning
Sponsor: Blekinge Institute of Technology
Summary
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.
Official title: Oral Health Parameter-Based Diabetes Type 2 Indication Using Machine Learning in Older Individuals With Mild Cognitive Impairment
Key Details
Gender
All
Age Range
60 Years - Any
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2025-08-30
Completion Date
2027-07
Last Updated
2025-05-20
Healthy Volunteers
Yes
Conditions
Interventions
A dataset comprising participants withT2D will be used to evaluate the classification performance of various machine learning techniques.
A dataset comprising participants with T2D will be used to evaluate the classification performance of various machine-learning techniques.
Locations (1)
Department of Health, Blekinge Institute of Technology
Karlskrona, Sweden