Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Sen (%)</td><td class="align_center">Spe (%)</td><td class="align_center">Pre (%)</td><td class="align_center">Acc (%)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Incremental</td><td class="align_center">95.03</td><td class="align_center">94.43</td><td class="align_center">93.07</td><td class="align_center">96.68</td></tr><tr><td class="align_left">Without incremental</td><td class="align_center">93.67</td><td class="align_center">92.19</td><td class="align_center">91.71</td><td class="align_center">95.43</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The effect of incremental algorithm on classification performance.</div>

Computational and Mathematical Methods in Medicine

tab6

Table 6

Table 6: Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model 