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For some (but by no means all) diseases, clinically usable risk prediction can be performed using classical risk factors such as body mass index, lipid levels, smoking status, family history and, under certain circumstances, genetics (e.g. BRCA1/2 in breast cancer).
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All the experiments were performed using classical AC electrical method.
A previous validation step was performed using classical theoretical calculation and PROCHECK software.
While in previous studies, estimation is performed using classical statistical methods or artificial neural networks, this study proposes to apply support vector regression (SVR) method for construction of a residuals Multivariate Cumulative Sum (MCUSUM) control chart, for monitoring changes in the process mean vector.
Interpreting the behavior in these culture systems has often been performed using classical computer models with continuous properties.
Septic and healthy plasma fractionation was performed using classical biochemical techniques.
The validation step of this classifier is performed using classical Leave-One-Out cross-validation, much more precise than a -fold cross-validation and hence not requiring any test step [13].
All procedures were performed using classical protocols.
Total protein quantification was performed using classical Bradford protocol.
Fertilization of oocytes was performed using classical in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI).
DNA extraction was performed using classical phenol/chloroform/isoamylic alcool protocol and precipitation was made using NaCl/ethanol procedure.
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