Sentence examples for model based predictor from inspiring English sources

A model based predictor that takes into account the past measured outputs is used.

A model based predictor that takes into account the past measured outputs is used, and a Lyapunov function of the estimation error is used for design purposes.

Tools for predicting the DNA target sites for a selected ZFP include ZIFIBI http://bioinfo.hanyang.ac.kr/ZIFIBI/frameset.php, a hidden Markov model based predictor that takes into account the interdependence between positions -1, +3 and +6 of a chosen ZFP to predict its potential DNA binding site(s) [ 48].

SignalP consists of two predictors - a neural network (NN) based predictor, and a hidden Markov model (HMM) based predictor.

Hierarchical entry was used to enter five predictors into the model based on which predictors had the largest effect in the correlation analysis.

In the tree model based on all predictors (Model 1), the following predictors were statistically significant: HOMA-IR, HDL, and fasting glucose resulting in an aROC of 87%. Figure 1 depicts the classification tree model using these predictors.

The area under ROC of the logistic regression model based on these predictors was 0.75 (95% CI 0.71 0.78) for SDM, similar to those of DRSs.

We also estimated a 5-year risk for fatal/non-fatal CVD with use of the NDR risk model, based on 12 predictors at baseline, as previously described.

To support the recognition of patients at high risk for HL after BM, Koomen et al. developed a clinical prediction model based on five predictors, including: duration of symptoms prior to admission longer than two days, the absence of petechiae, cerebrospinal fluid (CSF) glucose level ≤0.6 mmol/L, Streptococcus pneumoniae as causative pathogen and the presence of ataxia during the illness [ 3].

This study offers evidence that a predictor model based on a large data set generated from Affymetrix microarray and snap frozen ovarian carcinoma samples can be applied to paraffin embedded clinical samples from a local pathology lab.

Thus, the development of a DF model consists of three steps (Tong et al. 2003a): a) develop a DT model, b) develop the next DT model based on only the predictor variables that are not used in the previous DT model(s), and c) repeat the first two steps until no additional DT models can be developed.