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

January 9, 2018 updated by: Hyuk-Jae Chang, Yonsei University

MachIne LEarning for Identification of Future Development of cardiovaScular and meTabOlic Disease: a NationwidE Time-series Cohort Study (MILESTONE)

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

Study Overview

Status

Unknown

Conditions

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.

Study Type

Observational

Enrollment (Anticipated)

510000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • Korea, Republic of
      • Seoul, Korea, Republic of, 102-752
        • Recruiting
        • Yonsei University Severance Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

The data which is health checkup record about 510,000 Subjects between 2002 and 2013 from National Health Insurance Service (NHIS) in South Korea.

Description

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.

Exclusion Criteria:

  • Persons whose disease development is not identified from the records due to emigration or disappearance

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Accuracy in prediction of development of cardiovascular and metabolic disease using machine learning algorithm
Time Frame: 6months
6months

Secondary Outcome Measures

Outcome Measure
Time Frame
Accuracy in prediction of development of cardiovascular and metabolic disease using logistic regression analysis
Time Frame: 6months
6months
Accuracy in prediction of development of cardiovascular and metabolic disease using Framingham risk score
Time Frame: 6months
6months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Yonsei University

Investigators

  • Principal Investigator: Hyuk-Jae Chang, PhD, Yonsei Univerity

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2016

Primary Completion (Anticipated)

October 30, 2018

Study Completion (Anticipated)

December 31, 2018

Study Registration Dates

First Submitted

July 21, 2016

First Submitted That Met QC Criteria

October 12, 2016

First Posted (Estimate)

October 13, 2016

Study Record Updates

Last Update Posted (Actual)

January 10, 2018

Last Update Submitted That Met QC Criteria

January 9, 2018

Last Verified

January 1, 2018

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 4-2016-0383

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Cardiovascular Disease

Search Similar Trials

Sponsors and Collaborators

Medical Conditions

Drug Interventions

CROs by country

CROs in Netherlands

Conditions

Rare Diseases

Drug Interventions

Dietary Supplements

Sponsor/Collaborators

Locations

3
Subscribe