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To overcome this problem, several (frequently computer intensive) prediction algorithms have been proposed using the three dimensional structure of the MHC molecule, and empirical or semi-empirical force fields, to estimate the peptide-HLA-I binding affinity [29] [32].
Relaxing the requirement that quantitative predictions be generated 'on the fly' allows use of more computationally intensive prediction algorithms.
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In fact, DVC avoids the computationally intensive temporal prediction loop at the encoder, by shifting the exploitation of the temporal redundancy to the decoder.
2 Intensive care mortality prediction models are statistical methods designed to predict hospital mortality on the basis of patient data collected during admission to an intensive care unit (ICU).
In spite of intensive research, the prediction performance by all of these methods still needs much improvement.
To obtain valid predictions an intensive correction against false positive predictions was performed.
Inflammatory biomarkers and prediction for intensive care unit admission in severe community-acquired pneumonia.
By contrast, early mortality prediction for intensive care unit patients remains an open challenge.
The proposed method involves computationally intensive operations such as prediction and vector quantization both at the encoding and decoding stages.
Since there is no need for prediction, the intensive calculations for finding the optimal control over the prediction horizon can be eliminated.
However, the prediction implies intensive consumption of energy and reagents, and must therefore be modified by restricting the value of TOC decay to a lower value and that of pH to a higher one.
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CEO of Professional Science Editing for Scientists @ prosciediting.com