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This means that MedSim performs comparatively, while using a much simpler prediction approach based on GO annotation alone.
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The results obtained in terms of Mean Square Error (MSE), number of hidden nodes, accuracy (ACC), sensitivity (SEN), specificity (SPE) and Area Under the receiver operating characteristics Curve (AUC), show that the proposed approach is able to produce higher prediction accuracies with much simpler network structures.
Kinematic models are far more popular than dynamic models for trajectory prediction because they are much simpler and usually sufficient for this type of applications (i.e. applications which are not vehicle control).
However, system identification methods are as accurate as the St. Venant equations and are preferred over the St. Venant models for control and prediction purposes since they are much simpler to use.
The area under ROC curve for the logistic probability and risk score models were very similar but since the risk score model is much simpler and easier to use, we recommend its use in PTSD prediction among flood victims.
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"Everything was much simpler.
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