Machine Learning for Identification of Future Disease Development: A Nationwide Cohort Study (MILESTONE)
- Conditions
- Cardiovascular DiseaseMetabolic Disease
- Registration Number
- NCT02931500
- Lead Sponsor
- Yonsei University
- Brief Summary
To develop machine learning algorithms for the identification of future development of cardiovascular and metabolic disease
- Detailed Description
The MILESTONE trial is retrospective and data review study with health checkup data from the National Health Insurance Services(NHIS) in Korea. The data will be included general health examination for individuals , type of health insurance, medical bill details, medical histories, treatment and prescriptions about 514,795 individuals who were over 40 years old.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 510000
Inclusion Criteria
- The Subject who is got health checkup between 2002 and 2013, and had been recorded the health checkup result to the National Health Insurance Service(NHIS) in South Korea.
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Exclusion Criteria
- Persons whose disease development is not identified from the records due to emigration or disappearance
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Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Accuracy in prediction of development of cardiovascular and metabolic disease using machine learning algorithm 6months
- Secondary Outcome Measures
Name Time Method Accuracy in prediction of development of cardiovascular and metabolic disease using logistic regression analysis 6months Accuracy in prediction of development of cardiovascular and metabolic disease using Framingham risk score 6months
Trial Locations
- Locations (1)
Yonsei University Severance Hospital
🇰🇷Seoul, Korea, Republic of