Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning
出版年份 2016 全文链接
标题
Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning
作者
关键词
Diabetes mellitus, Machine learning, African American people, Forecasting, Type 2 diabetes, Biomarkers, Body mass index, HbA1c
出版物
PLoS One
Volume 11, Issue 10, Pages e0163942
出版商
Public Library of Science (PLoS)
发表日期
2016-10-12
DOI
10.1371/journal.pone.0163942
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- High-Sensitivity C-Reactive Protein Is Associated With Incident Type 2 Diabetes Among African Americans: The Jackson Heart Study
- (2015) Valery S. Effoe et al. DIABETES CARE
- Impact of an Intensive Lifestyle Intervention on Use and Cost of Medical Services Among Overweight and Obese Adults With Type 2 Diabetes: The Action for Health in Diabetes
- (2014) Mark A. Espeland et al. DIABETES CARE
- Application of Random Forests Methods to Diabetic Retinopathy Classification Analyses
- (2014) Ramon Casanova et al. PLoS One
- Cardiovascular mortality, all-cause mortality, and diabetes incidence after lifestyle intervention for people with impaired glucose tolerance in the Da Qing Diabetes Prevention Study: a 23-year follow-up study
- (2014) Guangwei Li et al. Lancet Diabetes & Endocrinology
- Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness
- (2014) A.V. Lebedev et al. NeuroImage-Clinical
- Left-ventricular hypertrophy and obesity
- (2013) Cesare Cuspidi et al. JOURNAL OF HYPERTENSION
- Alzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods
- (2013) Ramon Casanova et al. PLoS One
- Predictive models to assess risk of type 2 diabetes, hypertension and comorbidity: machine-learning algorithms and validation using national health data from Kuwait—a cohort study
- (2013) Bassam Farran et al. BMJ Open
- Diabetes and hypertension: the bad companions
- (2012) Ele Ferrannini et al. LANCET
- Random forest-based similarity measures for multi-modal classification of Alzheimer's disease
- (2012) Katherine R. Gray et al. NEUROIMAGE
- Classification of Structural MRI Images in Alzheimer's Disease from the Perspective of Ill-Posed Problems
- (2012) Ramon Casanova et al. PLoS One
- Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting
- (2011) Gary S Collins et al. BMC Medicine
- Plasma Aldosterone Levels and Development of Insulin Resistance
- (2011) Eita Kumagai et al. HYPERTENSION
- Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes
- (2011) Ramon Casanova et al. MAGNETIC RESONANCE IMAGING
- Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
- (2010) Wei Yu et al. BMC Medical Informatics and Decision Making
- Adiponectin Levels and Risk of Type 2 Diabetes
- (2009) Shanshan Li et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study
- (2009) LANCET
- Ethnic differences in the ability of triglyceride levels to identify insulin resistance
- (2007) Anne E. Sumner et al. ATHEROSCLEROSIS
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