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Central Venous Catheters

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

Journal of critical care 29486341
PURPOSE: The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
Bacteremia Catheter-Related Infections Central Venous Catheters Databases, Factual Female Florida Hospital Mortality Humans Intensive Care Units Logistic Models Male Middle Aged Predictive Value of Tests Risk Assessment Simplified Acute Physiology Score Supervised Machine Learning
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A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection.

Journal of digital imaging 28983851
A peripherally inserted central catheter (PICC) is a thin catheter that is inserted via arm veins and threaded near the heart, providing intravenous access. The final catheter tip position is always confirmed on a chest radiograph (CXR) immediately a...
Catheterization, Central Venous Catheterization, Peripheral Central Venous Catheters Databases, Factual Deep Learning Electrocardiography Female Humans Male Neural Networks, Computer Patient Safety Pattern Recognition, Automated Radiography, Thoracic Retrospective Studies
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Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection.

Journal of the American Medical Informatics Association : JAMIA 33463685
OBJECTIVE: Central line-associated bloodstream infections (CLABSIs) are a common, costly, and hazardous healthcare-associated infection in children. In children in whom continued access is critical, salvage of infected central venous catheters (CVCs)...
Adolescent Anti-Infective Agents Area Under Curve Central Venous Catheters Child Child, Preschool Cross Infection Female Humans Infant Machine Learning Male Prognosis Recurrence ROC Curve Sepsis Treatment Outcome
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