Exact(37)
We have examined the predictive power of BMI, WC and WHR in predicting incident diabetes and evaluated WC cut-off points to assess diabetes risk in a prospective study of men and women aged 60 79 years.
Five predictive models, ranging from parametric models, to non-parametric and neural network models, have been considered and compared evaluating their capacity of predicting incident duration.
The model provides a design tool capable of predicting: incident solar radiation, heat transfer coefficients, mean air flow rates, mean air temperature and relative humidity at the exit.
The analysis was designed to explore the combined effects of LDL-cholesterol and lipoprotein(a) (Lp(a)) in predicting incident coronary heart disease (CHD) in senior citizens without prior CHD.
A positive TST and QFT were both indicative of a higher risk of developing subsequent TB disease, and were equivalent in predicting incident TB disease.
Similar relationships have been demonstrated with the utility of albuminuria for predicting incident kidney failure [ 21].
Similar(23)
In 2015, the Framingham Heart Study showed that resting heart rate and heart rate variability significantly predicted incident diabetes and hypertension.
Thus, we examined the ability of frailty to predict incident UI among them.
We hypothesized that trait anger and anxiety would predict incident T2DM, independently of depressive symptoms.
The method presented in this paper also correctly predicts incident CHF.
Ozbay and Noyan (2006) [9] used Bayesian Networks (BNs) as knowledge discovery process to accurately predict incident duration.
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