Early Prediction of Sepsis Based on Machine Learning Algorithm

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Features</td><td class="align_center">Calculation method</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Total count</td><td class="align_center">The total count of vital signs indicators and laboratory values from ICULOS = 1 to ICULOS = <i>t</i> (<i>t</i> is the current time)</td></tr><tr><td class="align_left">Inspection frequency</td><td class="align_center">Count(<i>t</i>)/ICULOS(<i>t</i>)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Measurement intensity calculation method.</div>

Computational Intelligence and Neuroscience

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Table 4

Table 4: Early Prediction of Sepsis Based on Machine Learning Algorithm 