A Fact-Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Rank</td><td class="align_center">Dimension</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Characteristics of patients</td></tr><tr><td class="align_left">2</td><td class="align_center">Cystoscopy after hematuria record for half year</td></tr><tr><td class="align_left">3</td><td class="align_center">Characteristics of hospital</td></tr><tr><td class="align_left">4</td><td class="align_center">Visiting behavior</td></tr><tr><td class="align_left">5</td><td class="align_center">Characteristics of physicians</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The importance of variable ranking by AHP.</div>

Journal of Healthcare Engineering

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Table 1

Table 1: A Fact-Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria 