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NCT02931500

Machine Learning for Identification of Future Disease Development: A Nationwide Cohort Study (MILESTONE)

Status unknown Last updated 10 January 2018
What this trial tests

trial in Cardiovascular Disease in 510,000 participants. Status unknown.

Timeline
1 July 2016
Primary endpoint
30 October 2018
31 December 2018

Quick facts

Lead sponsorYonsei University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment510,000
Start date1 July 2016
Primary completion30 October 2018
Estimated completion31 December 2018
Sites1 location across South Korea

Conditions studied

Sponsor

Yonsei University

Who can join

18 and older, any sex, with Cardiovascular Disease or Metabolic Disease. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

To develop machine learning algorithms for the identification of future development of cardiovascular and metabolic disease

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Incremental Value of Repeated Risk Factor Measurements for Cardiovascular Disease Prediction in Middle-Aged Korean Adults: Results From the NHIS-HEALS (National Health Insurance System-National Health Screening Cohort).
    Cho IJ, Sung JM, Chang HJ, Chung N, et al · · 2017 · cited 16× · PMID 29150537 · DOI 10.1161/circoutcomes.117.004197
  2. Development and External Validation of a Deep Learning Algorithm for Prognostication of Cardiovascular Outcomes.
    Cho IJ, Sung JM, Kim HC, Lee SE, et al · · 2020 · cited 8× · PMID 31456363 · DOI 10.4070/kcj.2019.0105

Verify or expand the search:

Other recruiting trials for Cardiovascular Disease

Currently open trials in the same condition.

Other Yonsei University trials

Trials by the same sponsor.

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Data sources for this page

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