The National Emergency X-Radiography UtilizatioNEXUSdy II (NEXUS is) is a large, multicenter, prospective study designed to derive a decision rule for CT imaging of patients with blunt head injury.
X2 recursive partioning was used to derive a decision rule to restrict ordering of CT scans.
The goal is to construct a binary classifier or derive a decision function from the available samples.
The paper-and-pencil version has been modified to be optimally efficient, as it includes only those questions necessary to derive a decision (see Figure 3).
Elias et al. [6] and Arnold et al. [7] applied machine learning techniques to derive a decision tree from a number of peptide and fragment attributes to compute the probability of observing a fragment ion's intensity.
With a meaningful cutoff point for GDR, we certainly agree on the potential value of deriving a decision tree for predicting insulin resistance as suggested by Tam et al. (1).
We derived a simple clinical decision rule with a sensitivity and specificity of 68%, which could help clinicians treating dengue patients during the early stage of a first shock episode to predict the development of recurrent shock.
NDM is not designed for real-time, i.e., dynamic, clinical decision making (e.g., [ 8], Housset & Junod, 2003), but rather to derive a general decision tree to be studied as a potential (hypothetical) clinical workflow, with follow-up testing being specified by the outcome of the previous test.
While an arbitrary selection does not change the result of the algorithm, the optimal tree derived from a decision table implementing these arbitrary choices may be different.
A combination of cardinal and ordinal preferences in multiple-attribute decision making (MADM) demonstrates more reliability and flexibility compared with sole cardinal or ordinal preferences derived from a decision maker.
