A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities

<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">m-Health devices</td><td class="align_center">Purpose</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">iBGSta</td><td class="align_center">Based on iPhone devices, it measures glucose and blood sugar levels.</td></tr><tr><td class="align_left">TICKR</td><td class="align_center">Used in measuring the heart rates of the patient. This device calculates heart rates by strapping around the chest.</td></tr><tr><td class="align_left">FitBit surge</td><td class="align_center">A measuring device that calculates sleeping patterns, heart rate, and loss of calories during a physical exercise.</td></tr><tr><td class="align_left">Forerunner 920XT</td><td class="align_center">It keeps records of swimming stroke counter, step counter, and calorie calculation.</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Description of m-Health devices.</div>

Complexity

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Table 2

Table 2: A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities 