Predicting central line-associated bloodstream infections and mortality using supervised machine learning

Article ID	Journal	Published Year	Pages	File Type
8620303	Journal of Critical Care	2018	30 Pages	PDF

Abstract

This study demonstrates models for identifying patients who will develop CLABSI. Early identification of these patients has implications for quality, cost, and outcome improvements.

Keywords

quality improvement central line-associated bloodstream infection Hospital-acquired infections artificial intelligence Machine learning

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Predicting central line-associated bloodstream infections and mortality using supervised machine learning

Authors

Joshua P. MD, Antonio E. MS, Alejandro D. BS, Omar MD, Rishi MD,