Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:6.62em"/><col style="width:9.54em"/><col style="width:3.43em"/><col style="width:21.67em"/></colgroup><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset</td><td class="align_center">Samples distribution</td><td class="align_center">Ratio</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Original data</td><td class="align_center">2832/574</td><td class="align_center">5:1</td><td class="align_center">Original data with full instances</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">SMOTE-data</td><td class="align_center">2824/2870</td><td class="align_center">1:1</td><td class="align_center">Dataset is balanced utilizing SMOTE oversampling</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational and Mathematical Methods in Medicine

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Table 2

Table 2: Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017 