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

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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02931500

Enrollment

510000

Registered

2016-10-13

Start date

2016-07-01

Completion date

2018-12-31

Last updated

2018-01-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Disease, Metabolic Disease

Keywords

machine learning, cohort study

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

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

Secondary

Measure	Time frame
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

Countries

South Korea

Contacts

Primary ContactHyuk-Jae Chang, PhD

hjchang@yuhs.ac

Backup ContactIn-Jeong Cho

injeongcho@yuhs.ac

Outcome results