Oral Health Parameter-Based Diabetes Type 2 Indication Using Machine Learning
ConditionType 2 Diabetes
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age60+
SponsorBlekinge Institute of Technology
About this trial
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.
Eligibility criteria
Qualifiers
Individuals aged 60 years or older.
Participants with recorded oral health parameters with or without Diabetes type2
Disqualifiers
None
Trial design
Treatments tested in this trial
- A dataset comprising participants withT2D will be used to evaluate the classification performance of various machine learning techniques.
Treatment groups
2,000 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov