Development and validation of optimal phenomapping methods to estimate long-term atherosclerotic cardiovascular disease risk in patients with type 2 diabetes

被引：0
|
作者：
Matthew W. Segar
Kershaw V. Patel
Muthiah Vaduganathan
Melissa C. Caughey
Byron C. Jaeger
Mujeeb Basit
Duwayne Willett
Javed Butler
Partho P. Sengupta
Thomas J. Wang
Darren K. McGuire
Ambarish Pandey
机构：
[1] University of Texas Southwestern Medical Center,Division of Cardiology, Department of Internal Medicine
[2] Parkland Health and Hospital System,Department of Cardiology
[3] Houston Methodist DeBakey Heart and Vascular Center,Brigham and Women’s Hospital Heart and Vascular Center, Department of Medicine
[4] Harvard Medical School,Joint Department of Biomedical Engineering
[5] University of North Carolina and North Carolina State University,Department of Biostatistics
[6] University of Alabama Birmingham,Department of Internal Medicine
[7] University of Mississippi Medical Center,Division of Cardiology
[8] West Virginia University,undefined
来源：
Diabetologia | 2021年 / 64卷
关键词：
Atherosclerotic cardiovascular disease; Cardiovascular disease; Epidemiology; Machine learning; Risk factors; Risk prediction; Type 2 diabetes;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1583 / 1594
页数：11
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