Optimum cardiovascular risk prediction algorithm for South-Asians – Are WHO risk prediction charts really the right answer?

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Estimation of the Cardiovascular Risk Using World Health Organization/International Society of Hypertension (WHO/ISH) Risk Prediction Charts in a Rural Population of South India

Background World Health Organization/International Society of Hypertension (WHO/ISH) charts have been employed to predict the risk of cardiovascular outcome in heterogeneous settings. The aim of this research is to assess the prevalence of Cardiovascular Disease (CVD) risk factors and to estimate the cardiovascular risk among adults aged >40 years, utilizing the risk charts alone, and by the ad...

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Implications of Cardiovascular Disease Risk Assessment Using the WHO/ISH Risk Prediction Charts in Rural India

Cardiovascular disease (CVD) risk in India is currently assessed using the World Health Organization/International Society for Hypertension (WHO/ISH) risk prediction charts since no population-specific models exist. The WHO/ISH risk prediction charts have two versions-one with total cholesterol as a predictor (the high information (HI) model) and the other without (the low information (LI) mode...

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Risk prediction models: are they really necessary?

Mailing address: Domingo M. Braile • Av. Juscelino K. Oliveira, 1505 Jardim Tarraf I 15091-450 São José do Rio Preto, SP Brasil E-mail: [email protected] Manuscript received November 15, 2010, revised manuscript received November 15, 2010, accepted November 18, 2010.

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estimation of the cardiovascular risk using world health organization/international society of hypertension (who/ish) risk prediction charts in a rural population of south india

background world health organization/international society of hypertension (who/ish) charts have been employed to predict the risk of cardiovascular outcome in heterogeneous settings. the aim of this research is to assess the prevalence of cardiovascular disease (cvd) risk factors and to estimate the cardiovascular risk among adults aged >40 years, utilizing the risk charts alone, and by the ad...

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Risk calculation charts for multiclass prediction models

Methods Binary logistic regression models, where the estimated risk equals p=1/(1+exp(-b0-xb)) can be visualized by representing the contribution of each predictor (x_ib_i) with a colorbar, the color of which represents the value of the contribution. An additional colorbar is used to transform the sum of these contributions to a risk. For multinomial models, the linear predictors (lp_l=b0^l+xb^...

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ژورنال

عنوان ژورنال: Indian Heart Journal

سال: 2016

ISSN: 0019-4832

DOI: 10.1016/j.ihj.2016.05.007