Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease

Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing

(2020) Marta Fernandes et al.   PLoS One

Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

(2019) Emelia J. Benjamin et al.   CIRCULATION

Sex Differences in the Prevalence of, and Trends in, Cardiovascular Risk Factors, Treatment, and Control in the United States, 2001 to 2016

(2019) Sanne A.E. Peters et al.   CIRCULATION

Sex Differences in the Assessment of Cardiovascular Risk in Primary Health Care: A Systematic Review

(2019) Karice K. Hyun et al.   Heart Lung and Circulation

Reliability and validity of the four-level Chinese emergency triage scale in mainland China: A multicenter assessment

(2019) Guo Zhiting et al.   INTERNATIONAL JOURNAL OF NURSING STUDIES

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index

(2018) Scott Levin et al.   ANNALS OF EMERGENCY MEDICINE

Machine learning in cardiovascular medicine: are we there yet?

(2018) Khader Shameer et al.   HEART

Prehospital Index provides prognosis for hospitalized patients with acute trauma

(2018) Hai-lin Ruan et al.   Patient Preference and Adherence

Predicting hospital admission at emergency department triage using machine learning

(2018) Woo Suk Hong et al.   PLoS One

A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage

(2018) Shilpa J. Patel et al.   ACADEMIC EMERGENCY MEDICINE

Using natural language processing and machine learning to identify breast cancer local recurrence

(2018) Zexian Zeng et al.   BMC BIOINFORMATICS

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

(2018) Kathryn Rendell et al.   Emergency Medicine Australasia

Prognostic value of Modified Early Warning Score generated in a Chinese emergency department: a prospective cohort study

(2018) Xiaohua Xie et al.   BMJ Open

Inter-rater reliability between nurses for a new paediatric triage system based primarily on vital parameters: the Paediatric Triage Instrument (PETI)

(2017) Jaana Karjala et al.   BMJ Open

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

(2017) Karim Lekadir et al.   IEEE Journal of Biomedical and Health Informatics

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach

(2016) R. Andrew Taylor et al.   ACADEMIC EMERGENCY MEDICINE

IEEE/IBM Watson Student Showcase

(2016) Greg Byrd   COMPUTER

An Electronic Emergency Triage System to Improve Patient Distribution by Critical Outcomes

(2016) Andrea Freyer Dugas et al.   JOURNAL OF EMERGENCY MEDICINE

Blood pressure variability and cardiovascular disease: systematic review and meta-analysis

(2016) Sarah L Stevens et al.   BMJ-British Medical Journal

Blood pressure variability and cardiovascular disease: systematic review and meta-analysis

(2016) Sarah L Stevens et al.   BMJ-British Medical Journal

A Randomized Trial of Intensive versus Standard Blood-Pressure Control

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

Comparison of the Sex-Specific Associations Between Systolic Blood Pressure and the Risk of Cardiovascular Disease

(2013) Sanne A.E. Peters et al.   STROKE

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

(2012) Rafael Lozano et al.   LANCET

ED patients: how nonurgent are they? Systematic review of the emergency medicine literature

(2010) Anne-Claire Durand et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Inappropriate use of emergency services: a systematic review of prevalence and associated factors

(2009) Maria Laura Vidal Carret et al.   Cadernos de Saude Publica