JPRN-UMIN000029216Completed未知
Development of a health education system through risk prediction and targeting using artificial intelligence based on national health insurance claim data and health information (Attached research: A test to improve the health guidance AI prototype) - Development of a health education system using artificial intelligence
Hiroshima University, The research project management committee for development of AI health education system0 sites131 target enrollmentStarted: September 22, 2017Last updated:
Conditions
Trial Snapshot
- Phase
- 未知
- Status
- Completed
- Sponsor
- Enrollment
- 131
Study Overview
Brief Summary
No summary available.
Study Design
- Study Type
- Interventional
Eligibility Criteria
- Ages
- 20years-old to ot applicable (—)
- Sex
- All
Inclusion Criteria
- Not provided
Exclusion Criteria
- •1) A patient was judged by the nurses (who provide the program) as unable to implement the program 2) An inpatient 3) A patient at Renal Replacement Therapy (renal transplantation, treated with dialysis) 4) A patient who has a plan for renal transplantation within 6 months 5) A patient at end stage (be given a year to live) 6) Type 1 diabetes 7) In pregnacy 8) Dementia (HDS-R <= 20/30) 9) Those who have behavioral problems and be considered as difficult to continue the program by his/her primary physician, physician in charge of diabetic care or researcher
Investigators
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