Sentence examples for define decisions from inspiring English sources
Internal and external information can support and define decisions regarding target selection, pre-clinical and clinical experiment design, biomarker identification, disease modeling, and patient stratification.
SVM classifiers are based on the concept of decision planes that define decision boundaries.
We define decision procedures for both WGH∞ and (GHn)0<n<∞ that are based on particular sequents and on a set of proof rules dealing with such sequents.
Choices in this equation reveal preferences and define decision utility.
This is of particular importance when considering that it is these items which define decision aids as being different to existing PILs.
16 17 Furthermore, previous studies on trial decision aids have not explicitly explored perceptions of the 'new' content (ie, features to improve decision-making), which define decision aids as different to existing PILs.
Linear discriminant functions define decision hyperplanes in a multidimensional feature space: g(x ) = w T · x + w0 where w is the weight vector to be optimized that is orthogonal to the decision hyperplane and w0 is the threshold.
Following Lomas and Ross, we define "decision-makers" in our research as health system managers and policy-makers [ 2, 3] and for this article use "researcher-decision-maker partnerships" and "collaborative research teams" interchangeably.
Support vector machine (SVM) is a kernel-based learning method rooted in structural risk minimization [ 14], and it is based on the concept of decision planes that define decision boundaries.
Receiver Operator Characteristics (ROC) analysis using the first 50% participants was performed to define decision trees of baseline MRI volumetric and connectivity (fractional anisotropy) measures that differentiated non-remitters from remitters with maximal sensitivity and specificity.
Some assessment instruments define decision-making capacity as the sum of different abilities, although we do not know whether these can be added up, or whether a threshold can be based on statistical arguments [ 27].
