PURPOSE: To define the incidence of healthcare-associated ventriculitis and meningitis (HAVM) in the neuro-ICU and to identify HAVM risk factors using tree-based machine learning (ML) algorithms.
BACKGROUND: Surgical site infections (SSIs) pose a significant health and financial burden. A key aspect of appropriate prophylaxis is the administration of antibiotics intravenously (IV). However, subcutaneous administration of antibiotics is not we...
Journal of vascular nursing : official publication of the Society for Peripheral Vascular Nursing
Nov 9, 2017
The aim of the study was to conduct a retrospective chart review of patients who underwent betadine/bacitracin continuous irrigation (BBCI) for vascular graft infections (VGIs) to review its use as a treatment option. A retrospective chart review fro...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality improvement. In this study, aiming to accelerate the process of extracting postoperative outcomes from medical charts, we developed an automated post...
PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We performed natural language processing (NLP) of 743 838 operative notes recorded for 315 246 surgeries to ascertain two variables needed to study the compa...
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-time surveillance of clinical practice has been sparse and expensive or nonexistent. However, natural language processing (NLP) and machine learning (i...
Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
Sep 14, 2016
OBJECTIVES: The relationships between shunt infection and predictive factors have not been previously investigated using Artificial Neural Network (ANN) model. The aim of this study was to develop an ANN model to predict shunt infection in a group of...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Analysis of data from Electronic Health Records (EHR) presents unique challenges, in particular regarding nonuniform temporal resolution of longitudinal variables. A considerable amount of patient information is available in the EHR - including blood...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.