Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">Fuzzy model<br/>Best SFS set</td><td align="center">Logistic regression model<br/>Best SFS set</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">AUC</td><td align="center">0.71 ± 0.07</td><td align="center">0.67 ± 0.07</td></tr><tr><td align="left">Accuracy</td><td align="center">0.68 ± 0.05</td><td align="center">0.66 ± 0.05</td></tr><tr><td align="left">Sensitivity</td><td align="center">0.63 ± 0.14</td><td align="center">0.62 ± 0.14</td></tr><tr><td align="left">Specificity</td><td align="center">0.68 ± 0.06</td><td align="center">0.66 ± 0.06</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Performance of the fuzzy and LR models within the first 6 hours after ICU admission using the best set of variables selected through sequential forward selection.

The Scientific World Journal

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Table 3: Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology 

Table 3 | Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology 