NCT02931500Unknown不适用
MachIne LEarning for Identification of Future Development of cardiovaScular and meTabOlic Disease: a NationwidE Time-series Cohort Study (MILESTONE)
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 510,000
- 试验地点
- 1
- 主要终点
- Accuracy in prediction of development of cardiovascular and metabolic disease using machine learning algorithm
研究概览
简要总结
To develop machine learning algorithms for the identification of future development of cardiovascular and metabolic disease
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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.
排除标准
- •Persons whose disease development is not identified from the records due to emigration or disappearance
结局指标
主要结局
Accuracy in prediction of development of cardiovascular and metabolic disease using machine learning algorithm
时间窗: 6months
次要结局
- 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)
研究者
Hyuk-Jae Chang
Professor
Yonsei University
研究点 (1)
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