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There are two major discriminating variables influencing length of stay among patients with heart failure.
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Results were given as the total canonical structure correlation between discriminating variables and discriminant function.
A summary of the stepwise discriminant analysis with the four incorporated discriminating variables is listed in Table 5.
The discriminant score is a weighted linear combination (sum) of the discriminating variables.
Subsequently, the discriminant score can be considered a weighted linear combination (sum) of the discriminating variables.
Figure 2 Discriminating variables for two borderline cases.
The mean values of the four discriminating variables are listed in Table 4.
To compare each method's ability to select discriminating variables, we ranked the variable importance scores produced by the simulations for each forest and computed an average rank for the 3 equally discriminating variables.
We grew forests using 125 simulated training datasets with 3 equally discriminating variables as described in the Methods section.
The best possible average rank was 2 when all discriminating variables were in the top 3 positions.
The major discriminating feature from a possible Wilms' tumour is the older age of the patient.
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