A Retrospective Study to Explore Early Screening Indicators for AD pathology
Not Applicable
- Conditions
- Mild Cognitive impairment Healthy adult volunteers
- Registration Number
- JPRN-UMIN000051776
- Lead Sponsor
- Oita University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 200
Inclusion Criteria
Not provided
Exclusion Criteria
Subjects of this study are participants in Usuki Cohort (the cohort of local elderly residents in Usuki City, Oita Prefecture) and those who visited Oita University Hospital, and they meet all the following inclusion criteria. 1. Subjects with some missing data. 2. Subjects who have stated their willingness to participate in the research. 3. Any other subjects who are judged to be ineligible by the principal investigator or sub-investigator.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To construct a prediction model for the presence or absence of Amyloid-beta accumulation in the brain using machine learning based on clinical information (variables) collected retrospectively, and to evaluate its prediction accuracy.
- Secondary Outcome Measures
Name Time Method