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However, considering that increasing the prediction power of the nephrologists is not the only condition needed to promote efficiency in erythropoietin prescription, the real impact of our computer assisted tool has to be evaluated in a prospective randomized trial.
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Compared with linear models, computer assisted tools based on artificial neural networks predict the mean erythropoietin dose required for an individual patient significantly better.
Thus, implementing computer assisted tools that help predict the ideal erythropoietin dose, allowing timely and appropriate prescription adjustments, is an important challenge that will have relevant consequences on the patients' quality of life and should be further encouraged.
Results show that teachers are extrinsically motivated to change their teaching behaviour and classroom practice after using a computer assisted teaching tool to teach English pronunciation.
It could be a basis for the development of a computer assisted evaluation tool for designing interdisciplinary systems such as mechatronics ones.
In conclusion, BioNetCAD constitutes a computer assisted design tool that greatly enhances the rational design and optimization of synthetic biological system.
The purposes of the present study were (i) to characterize the linear or non-linear relationships between several clinical and biological variables and the response to epoetin beta and (ii) to build a computer assisted mathematical tool able to predict the epoetin requirement in an individual patient and the monthly adjustments in the epoetin dose.
Decision-taking: Are they using appropriate decision methods/tools to support better decision-making making (e.g., computer assisted decision tools)?
To optimize anaemia management several protocols, based on physician or nurse-driven algorithm as well as computer assisted prescription tools, some of them involving the use of Artificial Neural Networks (ANNs), have been described [ 18- 26].
The STEP-DIET program, a computer assisted instruction (CAI) tool, was developed to prepare dietetic students for their hospital based practical training in the academic setting.
Firstly, a computer assisted diagnostic decision tool such as that developed in this study could be used to determine the likelihood of serious bacterial infection.
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