AIMC Topic: Triage

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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Humans Machine Learning New South Wales Adolescent Area Under Curve Forecasting Aged, 80 and over ROC Curve Emergency Service, Hospital Adult Logistic Models Bayes Theorem Triage Retrospective Studies Patient Admission Male Female Middle Aged Aged
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Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?

Radiology Nov 13, 2018
Radiography Neural Networks, Computer Deep Learning Triage
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Safety of patient-facing digital symptom checkers.

Lancet (London, England) Nov 6, 2018
Humans Artificial Intelligence Algorithms Quality of Health Care Information Seeking Behavior Consumer Health Information Consumer Health Informatics Self Care Diagnostic Errors Triage Safety
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A data-driven artificial intelligence model for remote triage in the prehospital environment.

PloS one Oct 23, 2018
In a mass casualty incident, the factors that determine the survival rate of injured patients are diverse, but one of the key factors is the time for triage. Additionally, the main factor that determines the time of triage is the number of medical pe...
ROC Curve Triage Survival Analysis Consciousness Data Analysis Algorithms Middle Aged Hospitals False Positive Reactions Glasgow Coma Scale Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Hospital Mortality ROC Curve Retrospective Studies Triage Area Under Curve Republic of Korea Humans Emergency Service, Hospital Female Databases, Factual Risk Reproducibility of Results Emergency Medicine Middle Aged Aged Severity of Illness Index Adult Deep Learning Male Cohort Studies
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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.

Lancet (London, England) Oct 11, 2018
BACKGROUND: Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. We aimed to develop and validate a set of deep learning algorithms for automated detection of the following key finding...
Retrospective Studies Tomography, X-Ray Computed Deep Learning Brain Injuries Humans Algorithms Intracranial Hemorrhages Trauma Severity Indices Triage Skull Fractures Datasets as Topic Head
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Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays.

The journal of applied laboratory medicine Sep 17, 2018
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocardial infarction, are not standardized across cTnI assays. We compared 3 point-of-care (POC) and 1 central laboratory contemporary cTnI assays against ...
Troponin T Male Humans Biological Assay Biomarkers Point-of-Care Systems Laboratories Female Triage Troponin I Myocardial Infarction
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Predicting hospital admission at emergency department triage using machine learning.

PloS one Jul 20, 2018
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.
Humans Patient Discharge Patient Admission Middle Aged Models, Statistical Triage Machine Learning Emergency Service, Hospital Female Adult Male
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Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

The American journal of emergency medicine Jun 28, 2018
OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Machine learning approaches may enhance prediction. We compared the performance of several machine learning approaches for predicting two clinical outco...
Triage Emergency Service, Hospital Aged Adult Pulmonary Disease, Chronic Obstructive Asthma Male Middle Aged Severity of Illness Index Treatment Outcome Humans Machine Learning Female Hospitalization
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Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder.

Biomedical engineering online May 23, 2018
OBJECTIVE: In this paper, we aim to investigate the effect of computer-aided triage system, which is implemented for the health checkup of lung lesions involving tens of thousands of chest X-rays (CXRs) that are required for diagnosis. Therefore, hig...
Automation Signal-To-Noise Ratio Radiography, Thoracic Humans Machine Learning Lung ROC Curve Image Processing, Computer-Assisted Triage
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