Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Rules</td><td class="align_center">Description of the rules</td><td class="align_center">Se</td><td class="align_center">FApy</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">R1</td><td class="align_center">Weight + ankle + well-being</td><td class="align_center">0.79</td><td class="align_center">15.33</td></tr><tr><td class="align_left">R2</td><td class="align_center">R1 + yellow</td><td class="align_center">0.95</td><td class="align_center">51.12</td></tr><tr><td class="align_left">R3</td><td class="align_center">R2 + questionnaire alerts</td><td class="align_center">1</td><td class="align_center">84.5</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Inclusion Criterion performance.</div>

Mobile Information Systems

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Table 8

Table 8: Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model 