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The performance of this rule stores the computed average in the Sensors bag of the SoftSensors object.
Another limitation of the current study is that the decision rule and the evaluation of the performance of this rule were both determined from the same population of patients.
However, as the performance of this rule was poorer than that of the rule obtained by logistic regression, we decided to report exclusively the data concerning the rule derived using the latter method.
Pooled performance of this rule on three cohorts totaling 3,402 patients (SCAP, 9%) to predict a composite definition of SCAP (in-hospital death, mechanical ventilation, or shock) was 92% (0.83 to 0.97) for sensitivity and 64% (0.5 to 0.76) for specificity.
Similar(56)
The performance of this simple rule was very high, as demonstrated by the sensitivity and specificity reached across the different cohorts (see Additional file 2).
The performance of the rule template consists of two transactions.
The performance of the rule, obtained by resubstitution, is 93.3%.
The performance of the rule template consists of a sequence of two transactions.
The performance of the rule based technique highly dependents on these parameters.
The performance of the rule consumes the event resource and the current configuration resource and inserts the Holidays resource.
Because rules are tested based on independent data (intrinsic test data), performance values reflect the expected (general) performance of the rule, an independent verification that gives a more reliable estimate of true rule performance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com