Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive 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">Parameter to study</td><td class="align_center">Time period</td><td class="align_center">Minimum (kg)</td><td class="align_center">Maximum (kg)</td><td class="align_center">Type of alert</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left" rowspan="3">Weight change</td><td class="align_center">5 days</td><td class="align_center">1</td><td class="align_center">2</td><td class="align_center">Yellow</td></tr><tr><td class="align_center">3 days</td><td class="align_center">1</td><td class="align_center">25</td><td class="align_center">Red</td></tr><tr><td class="align_center">5 days</td><td class="align_center">2</td><td class="align_center">25</td><td class="align_center">Red</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Weight alerts implemented by Osakidetza.</div>

Mobile Information Systems

tab6

Table 6

Table 6: Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model 