Diagnosis of Arrhythmia for Patients with Occult Coronary Heart Disease Guided by Intracavitary Electrocardiogram under Data Mining Algorithm

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Indicators</td><td class="align_center">Calculation methods</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Sensitivity</td><td class="align_center">Number of true-positive cases/(number of true-positive cases + number of false-negative cases) × 100%</td></tr><tr><td class="align_left">Specificity</td><td class="align_center">Number of true-negative cases/(number of true-negative cases + number of false-positive cases) × 100%</td></tr><tr><td class="align_left">Accuracy</td><td class="align_center">EGM result/coronary angiography result × 100%</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The calculation standard of curative effect.</div>

Journal of Healthcare Engineering

tab2

Table 2

Table 2: Diagnosis of Arrhythmia for Patients with Occult Coronary Heart Disease Guided by Intracavitary Electrocardiogram under Data Mining Algorithm 

Table 2 | Diagnosis of Arrhythmia for Patients with Occult Coronary Heart Disease Guided by Intracavitary Electrocardiogram under Data Mining Algorithm 