Study of cardiovascular disease prediction model based on random forest in eastern China
出版年份 2020 全文链接
标题
Study of cardiovascular disease prediction model based on random forest in eastern China
作者
关键词
-
出版物
Scientific Reports
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-23
DOI
10.1038/s41598-020-62133-5
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。- Characteristics of High Cardiovascular Risk in 1.7 Million Chinese Adults
- (2019) Jiapeng Lu et al. ANNALS OF INTERNAL MEDICINE
- Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants
- (2019) Ahmed M. Alaa et al. PLoS One
- Cardiovascular disease risk prediction models: challenges and perspectives
- (2019) Farshad Farzadfar Lancet Global Health
- Contemporary cardiovascular risk prediction
- (2018) Johanna A A G Damen et al. LANCET
- Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study
- (2018) Romana Pylypchuk et al. LANCET
- Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool (CVDPoRT)
- (2018) Douglas G. Manuel et al. CANADIAN MEDICAL ASSOCIATION JOURNAL
- Prediction of Cardiovascular Risk to Guide Primary Prevention
- (2018) Gregory D. Curfman JAMA Internal Medicine
- Implications of scaling up cardiovascular disease treatment in South Africa: a microsimulation and cost-effectiveness analysis
- (2018) Sanjay Basu et al. Lancet Global Health
- Discrimination and Calibration of Clinical Prediction Models
- (2017) Ana Carolina Alba et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Biomarker-Based Risk Model to Predict Cardiovascular Mortality in Patients With Stable Coronary Disease
- (2017) Daniel Lindholm et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese PopulationClinical Perspective
- (2016) Xueli Yang et al. CIRCULATION
- Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease
- (2016) Amit V. Khera et al. NEW ENGLAND JOURNAL OF MEDICINE
- Prevalence, Awareness, Treatment, Control and Risk Factors Associated with Hypertension among Adults in Southern China, 2013
- (2016) Li Yang et al. PLoS One
- Prediction models for cardiovascular disease risk in the general population: systematic review
- (2016) Johanna A A G Damen et al. BMJ-British Medical Journal
- Prediction models for cardiovascular disease risk in the general population: systematic review
- (2016) Johanna A A G Damen et al. BMJ-British Medical Journal
- Analysis on associated factors of uncontrolled hypertension among elderly hypertensive patients in Southern China: a community-based, cross-sectional survey
- (2014) Li Yang et al. BMC PUBLIC HEALTH
- 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
- (2013) David C. Goff et al. CIRCULATION
- 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
- (2013) David C. Goff et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Lifetime risk for cardiovascular disease in a Chinese population: the Chinese Multi–Provincial Cohort Study
- (2013) Ying Wang et al. European Journal of Preventive Cardiology
- Comparisons of established risk prediction models for cardiovascular disease: systematic review
- (2012) G. C. M. Siontis et al. BMJ-British Medical Journal
- Cardiovascular risk scores do not account for the effect of treatment: a review
- (2011) S. M. Liew et al. HEART
- Validação do monitor de medida de pressão arterial Omron HEM 742 em adolescentes
- (2009) Diego Giulliano Destro Christofaro et al. Arquivos Brasileiros de Cardiologia
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