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Then we design an event-triggered predictor-based controller with sampled measurements and demonstrate that, depending on the delay uncertainty, one should choose various predictor models to reduce the error due to triggering.
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The present study analysed the presentation and factors predicting outcome of the patients with myxoedema coma and tested the validity of various available outcome predictor models to define morbidity and mortality in these patients.
Relative importance values of various predictor variables of the models were calculated to determine the significance of each of the variables to the flow number.
Motivated by these studies, we predict expression using our model with various predictor sets such as standalone TFs, standalone HMs, and TFs and HMs combined with controls.
However, bloody diarrhea is not the only endogenous variable in their models, and extensive modeling would be necessary to isolate the independent effects of the various predictor variables.
Cumulative weights indicate the probability that that predictor variable is a component of the best model and hence can be used to rank various predictor variables in terms of importance (Burnham and Anderson 2002).
Given these training data, the relationship between pathogenicity and the various predictors of ncSNVs have been modeled using traditional statistical approaches (e.g., logistic regression) and advanced machine-learning techniques (both supervised an unsupervised learning).
* Causes of medical errors + Patient-related factor Associations between perceived knowledge of medical error and various predictors were evaluated using both univariate and multivariate logistic regression models.
Cox proportional hazards models were used to assess the relationship between various predictors and mortality.
The importance of various predictors on involuntary admission were analyzed in a logistic regression model.
To determine the effect of the various predictors on these outcomes, we will use two approaches to model construction.
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