AIMC Topic: Catheter-Related Infections

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Adherence of staphylococcus aureus to catheter tubing inhibition by quaternary ammonium compounds.

The Pan African medical journal Sep 29, 2016
INTRODUCTION: is a Gram positive bacterium which is responsible for a wide range of infections. This pathogen has also the ability to adhere to biotic or abiotic surface such as central venous catheter (CVC) and to produce a biofilm. The aim of this...
Cetrimonium Compounds Catheter-Related Infections Anti-Infective Agents, Local Microbial Sensitivity Tests Betaine Staphylococcal Infections Staphylococcus aureus Humans Biofilms Catheters Cetrimonium
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Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes.

Methods of information in medicine Nov 4, 2015
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare".
Data Mining Humans Datasets as Topic Urinary Catheterization Electronic Health Records Decision Support Systems, Clinical Catheter-Related Infections Hospitals, Veterans Natural Language Processing Vocabulary, Controlled Urinary Tract Infections Machine Learning Utah Algorithms Risk Assessment Prevalence
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Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

Infection control and hospital epidemiology May 29, 2015
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data ...
Urinary Tract Infections Documentation Catheters, Indwelling Tertiary Care Centers Natural Language Processing Catheter-Related Infections Electronic Health Records Pilot Projects Algorithms Intensive Care Units Population Surveillance Humans Computer Systems Predictive Value of Tests
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CLABpredICU---AI-driven risk prediction for CLABSI in intensive care units based on clinical and biochemical parameters.

American journal of infection control Aug 1, 2025
BACKGROUND: Central line--associated bloodstream infections (CLABSI) are major causes of morbidity and mortality in intensive care units. This study aimed to develop an artificial intelligence-driven predictive model for CLABSI within 2 calendar days...
Aged Adult Intensive Care Units Female Risk Assessment Male ROC Curve Artificial Intelligence Humans Middle Aged Retrospective Studies Catheter-Related Infections
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Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Computers, informatics, nursing : CIN Jan 1, 2020
Massive generation of health-related data has been key in enabling the big data science initiative to gain new insights in healthcare. Nursing can benefit from this era of big data science, as there is a growing need for new discoveries from large qu...
Humans Machine Learning Electronic Health Records Data Mining Knowledge Discovery Hospitals Catheter-Related Infections Support Vector Machine Urinary Tract Infections
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Finding 'Evidence of Absence' in Medical Notes: Using NLP for Clinical Inferencing.

Studies in health technology and informatics Jan 1, 2016
Extracting evidence of the absence of a target of interest from medical text can be useful in clinical inferencing. The purpose of our study was to develop a natural language processing (NLP) pipelineto identify the presence of indwelling urinary cat...
Natural Language Processing Catheter-Related Infections Diagnostic Errors Inpatients Documentation Urinary Catheters Humans Electronic Health Records
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