Improving Prediction Accuracy of “Central Line-Associated Blood Stream Infections” Using Data Mining Models

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/bmri/volume-2017/3292849/figures/3292849.fig.004a.svgz" name="3292849.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>A part of NHSN: HAI data showing outlier values</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/bmri/volume-2017/3292849/figures/3292849.fig.004b.svgz" name="3292849.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>A part of HCAHPS data showing outlier values</td></tr></table>

BioMed Research International

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Figure 4: Improving Prediction Accuracy of “Central Line-Associated Blood Stream Infections” Using Data Mining Models 