AI Medical Compendium Journal:
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

Showing 11 to 14 of 14 articles

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Apr 13, 2016
OBJECTIVE: Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) ...
Sensitivity and Specificity Child Electronic Health Records Emergency Service, Hospital Data Mining Natural Language Processing Mucocutaneous Lymph Node Syndrome Humans
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A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Mar 21, 2016
OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The pu...
Middle Aged Urban Population Male Brain Injuries Robotics Follow-Up Studies Young Adult Sensitivity and Specificity Adult Humans Female Head Injuries, Closed Post-Concussion Syndrome Emergency Service, Hospital Diagnostic Techniques, Neurological Observer Variation
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Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Feb 13, 2016
OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical decision rules (CDRs) in the form of simple heuristics and scoring systems. In the development of CDRs, limitations in analytic methods and concerns wit...
Trauma Centers Aged, 80 and over Male Humans Retrospective Studies Adult Decision Support Systems, Clinical Machine Learning Electronic Health Records Hospitalization ROC Curve Female Aged Emergency Service, Hospital Sepsis Middle Aged Hospital Mortality Logistic Models
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Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Jan 14, 2016
BACKGROUND: The authors have previously demonstrated highly reliable automated classification of free-text computed tomography (CT) imaging reports using a hybrid system that pairs linguistic (natural language processing) and statistical (machine lea...
Emergency Service, Hospital Child Decision Trees Natural Language Processing Brain Injuries Humans Tomography, X-Ray Computed Machine Learning
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