Machine Learning for Identification of Future Disease Development: A Nationwide Cohort Study (MILESTONE)
NCT02931500 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 510000
Last updated 2018-01-10
Summary
To develop machine learning algorithms for the identification of future development of cardiovascular and metabolic disease
Conditions
- Cardiovascular Disease
- Metabolic Disease
Sponsors & Collaborators
-
Yonsei University
lead OTHER
Principal Investigators
-
Hyuk-Jae Chang, PhD · Yonsei Univerity
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2016-07-01
- Primary Completion
- 2018-10-30
- Completion
- 2018-12-31
Countries
- South Korea
Study Locations
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