Risk models to predict hypertension: a systematic review.
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Behavioural Risk Factors in Mid-Life Associated with Successful Ageing, Disability, Dementia and Frailty in Later Life: A Rapid Systematic ReviewCardiac target organ damage in hypertension: insights from epidemiologyHeart Disease and Stroke Statistics-2017 Update: A Report From the American Heart AssociationClassification-based data mining for identification of risk patterns associated with hypertension in Middle Eastern population: A 12-year longitudinal studyE-selectin gene polymorphisms and essential hypertension in Asian population: an updated meta-analysis.Ambulatory blood pressure phenotypes and the risk for hypertension.Obesity, albuminuria, and gamma-glutamyl transferase predict incidence of hypertension in indigenous Australians in rural and remote communities in northern AustraliaThe relationship between blood pressure and the structures of Pender's health promotion model in rural hypertensive patients.Prehypertension Tsunami: A Decade Follow-Up of an Iranian Adult PopulationA Risk Score to Predict Hypertension in Primary Care Settings in Rural IndiaRisk predictive modelling for diabetes and cardiovascular disease.The Contribution of Inflammation to the Development of Hypertension Mediated by Increased Arterial Stiffness.Cardiovascular Health and Incident Hypertension in Blacks: JHS (The Jackson Heart Study).Trends in Prehypertension and Hypertension Risk Factors in US Adults: 1999-2012.Hypomethylation of the Angiotensin II Type I Receptor (AGTR1) Gene Along with Environmental Factors Increases the Risk for Essential Hypertension.Incidence and risk factors of isolated systolic and diastolic hypertension: a 10 year follow-up of the Tehran Lipids and Glucose Study.Alterations of the Gut Microbiome in Hypertension.Recent development of risk-prediction models for incident hypertension: An updated systematic review.Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services.Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.Development and validation of a population based risk algorithm for obesity: The Obesity Population Risk Tool (OPoRT).Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.The relationship between shift work and Framingham risk score: A five-year prospective cohort study.
P2860
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P2860
Risk models to predict hypertension: a systematic review.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Risk models to predict hypertension: a systematic review.
@ast
Risk models to predict hypertension: a systematic review.
@en
Risk models to predict hypertension: a systematic review.
@nl
type
label
Risk models to predict hypertension: a systematic review.
@ast
Risk models to predict hypertension: a systematic review.
@en
Risk models to predict hypertension: a systematic review.
@nl
prefLabel
Risk models to predict hypertension: a systematic review.
@ast
Risk models to predict hypertension: a systematic review.
@en
Risk models to predict hypertension: a systematic review.
@nl
P2093
P2860
P31
P1433
P1476
Risk models to predict hypertension: a systematic review.
@en
P2093
Andre P Kengne
G David Batty
Justin B Echouffo-Tcheugui
Mika Kivimäki
P2860
P304
P356
10.1371/JOURNAL.PONE.0067370
P407
P5008
P577
2013-07-05T00:00:00Z