Verification of predictability of medical examination results by AI (artificial intelligence) and usefulness for specific health guidance method
Not Applicable
- Conditions
- non-communicable diseases
- Registration Number
- JPRN-UMIN000049729
- Lead Sponsor
- iigata University Graduate School of Medical & Dental Sciences
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 1210
Inclusion Criteria
Not provided
Exclusion Criteria
Since AI predicts test values for the next year from this year's and last year's data, those who do not have last year's health checkup data are not eligible. Those who could not participate in health guidance due to reasons such as workplace changes (dropout cases), and those who refused informed consent (refusal cases) are considered.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Waist circumference, body weight, BMI, degree of improvement in health interest questionnaire after 3 months
- Secondary Outcome Measures
Name Time Method