AIMC Topic: Emergency Service, Hospital

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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) ...
Humans Mucocutaneous Lymph Node Syndrome Natural Language Processing Emergency Service, Hospital Data Mining Electronic Health Records Sensitivity and Specificity Child
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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...
Diagnostic Techniques, Neurological Head Injuries, Closed Post-Concussion Syndrome Robotics Emergency Service, Hospital Observer Variation Adult Humans Sensitivity and Specificity Follow-Up Studies Middle Aged Female Male Brain Injuries Urban Population Young Adult
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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...
Female Hospitalization Aged Aged, 80 and over Machine Learning Retrospective Studies Electronic Health Records Sepsis Hospital Mortality ROC Curve Decision Support Systems, Clinical Adult Male Middle Aged Humans Logistic Models Emergency Service, Hospital Trauma Centers
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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...
Tomography, X-Ray Computed Child Brain Injuries Emergency Service, Hospital Decision Trees Natural Language Processing Humans Machine Learning
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Giant bladder (10,500 mL in volume) in the ED.

The American journal of emergency medicine Dec 21, 2015
Diabetic Neuropathies Male Humans Urinary Bladder, Neurogenic Emergency Service, Hospital Tomography, X-Ray Computed Urinary Retention Aged
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Automated Reconciliation of Radiology Reports and Discharge Summaries.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
We study machine learning techniques to automatically identify limb abnormalities (including fractures, dislocations and foreign bodies) from radiology reports. For patients presenting to the Emergency Room (ER) with suspected limb abnormalities (e.g...
Patient Discharge Summaries Wounds and Injuries Extremities Emergency Service, Hospital Radiology Software Radiology Information Systems Diagnostic Errors Support Vector Machine Natural Language Processing Humans Machine Learning
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Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.

Journal of biomedical informatics Sep 16, 2015
Influenza is a yearly recurrent disease that has the potential to become a pandemic. An effective biosurveillance system is required for early detection of the disease. In our previous studies, we have shown that electronic Emergency Department (ED) ...
Influenza, Human Humans Machine Learning Emergency Service, Hospital
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A Controlled Trial Using Natural Language Processing to Examine the Language of Suicidal Adolescents in the Emergency Department.

Suicide & life-threatening behavior Aug 7, 2015
What adolescents say when they think about or attempt suicide influences the medical care they receive. Mental health professionals use teenagers' words, actions, and gestures to gain insight into their emotional state and to prescribe what they beli...
Risk Assessment Suicide, Attempted Adolescent Emergency Service, Hospital Verbal Behavior Suicidal Ideation Natural Language Processing Decision Support Techniques Prospective Studies Humans Female Machine Learning Male
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Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

BMJ quality & safety Jul 16, 2015
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a paediatric emergency department (ED), we reported a high degree of process variation and frequent a...
Checklist Oxyhemoglobins Oximetry Intubation, Intratracheal Quality Improvement Treatment Outcome Humans Pediatrics Emergency Medicine Incidence Emergency Service, Hospital Video Recording Child
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A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room.

Computer methods and programs in biomedicine Jun 25, 2015
Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ranked first among cancer mortality rates since the early 1980s in Taiwan. Besides, liver cirrhosis and chronic liver diseases are the sixth or seventh i...
Humans Models, Theoretical Fuzzy Logic Acute Disease Health Care Costs Taiwan Emergency Service, Hospital Hepatitis, Viral, Human
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