Improving Prediction Accuracy of “Central Line-Associated Blood Stream Infections” Using Data Mining Models.
Prediction of nosocomial infections among patients is an important part of clinical surveillance programs to enable the related personnel to take preventive actions in advance. Designing a clinical surveillance program with capability of predicting nosocomial infections is a challenging task due to...
| Published in: | BioMed Research International Vol. 2017; pp. 1 - 13 |
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| Main Authors: | , , , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
9/20/2017
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| Online Access: | View this record in EBSCOhost |