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Reference [31] investigates the use of a large open feature sets and automatic feature selection combined with support vector machines as classifiers.
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The basic ideas behind this combination are: providing an objective measurement of PA via an accelerometer, collaborative goal setting and automatic feedback via an application on a smartphone combined with PA counselling by the PN.
We then constructed 1000 bootstrap data sets for each imputed data set (i.e., 5000 data sets) and performed automatic stepwise logistic regression in each.
From the initial data set, we constructed 1000 bootstrap data sets and performed automatic stepwise logistic regression in each, selecting variables associated with mortality with P<20% by univariate analysis.
Similarly, a low oxygen warning is set to appear if the hypoxic level in the room reaches 1% below the FiO2 set point and automatic shutdown occurs in such a hazardous situation.
The machine learning component of tagtog was consequently trained on the first manual set and provided automatic annotations for a second set of 20 documents.
Then go to the updates setting and turn automatic downloads off.
The system is capable of local pseudonymization of biosignal data, mapping to a standardized set of parameters and automatic quality assessment.
Among those using RefSeq input, the GENCODE set combines manual and automatic annotation and is more comprehensive by including the transcripts detected in the ENCODE project.
They confirm near-saturation coverage of our data sets, and indicate that automatic pipelines lead to mis-annotation or lack of annotation for a number of genes.
One of the strongest advantages of the proposed model is the simple and automatic set up process, as meshing for domain discretisation is not required.
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