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A further objective is to develop a simple transient model to predict the development of slug velocity in time and space beyond the initiation point.
By including this non-endemic area, the strength of the model to predict the development of PD in this area could be observed.
We note, however, that residual cofounders are likely to exist outside of our statistical analysis, a suspicion supported by the weak ability of the logistic-regression model to predict the development of ICU-acquired BSI based on the presence of the baseline predictors available.
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Recently, Himes et al. (2009) [ 20] used Bayesian models to predict the development of COPD in asthma patients, finding age, sex, ethnic background, smoking history, and eight co-morbidities to predict the development of COPD.
Lee-Ching Hwang et al. applied a Markov model approach to predict the development of MS [ 21].
In this paper, a new hyperbolic model is proposed to predict the development of undrained pore pressure.
Logistic regression models were used to predict the development of CDI up to 60 days post-discharge.
Therefore, the developed model can be used to predict the development of CPB strength with different curing times and initial temperatures.
Fig. 6 Prediction model developed by using neural networks, implementing memetic algorithm to this model, to improve the accuracy of the model Fig. 7 Proposed prediction model using elastic net regression to predict the development of diabetes.
In addition, we have formulated a mathematical model to predict the agent development trends in the field of wearable systems.
This study concerns the development of a model to predict the pH dependent swelling behaviour of a polyelectrolyte gel.
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