Coronary Artery Disease Detection Using a Fuzzy-Boosting PSO Approach

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td align="left">Measure name</td><td align="center">Accuracy</td><td align="center">Sensitivity</td><td align="center">Specificity</td><td align="center"><svg height="11.175" id="M179" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 10.7 11.175" width="10.7" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.113)"><path d="M599 650l-18 -160l-30 -2q-2 70 -11 94q-5 16 -26 24t-75 8h-94q-27 0 -33.5 -6.5t-12.5 -32.5l-43 -226h108q52 0 72.5 5t31 18t28.5 52h28l-40 -200h-28q-1 42 -6 56.5t-24.5 21t-70.5 6.5h-108l-32 -177q-13 -65 1 -80.5t88 -22.5l-8 -28h-279l6 28q61 5 77.5 20.5
t29.5 81.5l72 387l7.5 40.5t1 26.5t-4 18t-15.5 10t-24 6t-37 4l8 28h461z" id="x1D439"></path></g>
</svg>-measure</td><td align="center">Precision</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td align="left">Amount (%)</td><td align="center">85.76</td><td align="center">90.02</td><td align="center">82.31</td><td align="center">86.48</td><td align="center">91.08</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Performance measures of En-PSO2 according to confusion matrix.

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Coronary Artery Disease Detection Using a Fuzzy-Boosting PSO Approach 