An Effective Deep Learning Model for Health Monitoring and Detection of COVID-19 Infected Patients: An End-to-End Solution

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">COVID + correct classification (TP)</td><td class="align_center">COVID + wrong classification (FP)</td><td class="align_center">COVID correct classification (FN)</td><td class="align_center">COVID wrong classification (TN)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">DenseNet121</td><td class="align_center">47</td><td class="align_center">3</td><td class="align_center">99</td><td class="align_center">1</td></tr><tr><td class="align_left">ResNet18</td><td class="align_center">47</td><td class="align_center">3</td><td class="align_center">97</td><td class="align_center">3</td></tr><tr><td class="align_left">SqueezeNet</td><td class="align_center">44</td><td class="align_center">6</td><td class="align_center">98</td><td class="align_center">2</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 3

Table 3: An Effective Deep Learning Model for Health Monitoring and Detection of COVID-19 Infected Patients: An End-to-End Solution 