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Biomarkers are validated using a process that typically includes three stages: laboratory validation, clinical trials and clinical application.
Numerical simulations are validated using a simple sensor/actuator experiment.
Obstacles shapes extracted using the active contour technique are validated using a neural network.
The design results are validated using a three-dimensional Computational Fluid Dynamics analysis.
Simulations are validated using a large experimental data base obtained with a wavefront sensor developed by Phasics™.
The parameters from the modeling exercise are validated using a hold-out sample not considered for model estimation.
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The estimated parameter settings are validated using an exemplary MLS data set.
The parametric equations are validated using an alternate suite of near-fault ground motions.
The model in each condition was validated using a leave-one-out cross-validation routine.
The discriminatory 28-gene profile was validated using a leave-one-out cross-validation test.
The results were validated using a standard leave-one-out cross-validation approach.
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