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Therefore, we aim to extend the concept of the feature-based models to prediction of disease-associated mutations [ 42, 47- 55] in our future work.
In this paper, we proposed a segmentation based model to improve subcellular location prediction.
In this study, we have developed Support Vector Machine (SVM) based models for prediction of drug-like molecules using SVMlight software package.
We present an Artificial Neural Network based model for the prediction of cold rolling textures of steels.
The outcomes indicates that the superiority of ANN-PSO based model predictions over the quadratic model predictions provided by RSM.
The framework also uses MapReduce based prediction model to predict the heart diseases.
CE contributed towards the general framework of the proposed prediction based model for image compression.
In this work, a type-2 fuzzy logic based model is presented to improve PVT predictions.
A new model improvement workflow was developed to compare model based phenotypic predictions to experimental data to fill gaps and correct errors.
Also, serum cytokine based prediction models need to be compared to commonly applied prediction models based on clinical parameters.
However, we should keep in mind the complexity of cytokine kinetics in critically ill patients and the variety of factors affecting circulating cytokines and that serum cytokine based prediction models need to be compared to commonly applied prediction models based on clinical parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com