Machine learning techniques for mortality prediction in emergency departments: a systematic review

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis

(2021) William P. T. M. van Doorn et al.   PLoS One

Real‐time interactive artificial intelligence of things–based prediction for adverse outcomes in adult patients with pneumonia in the emergency department

(2021) You‐Ming Chen et al.   ACADEMIC EMERGENCY MEDICINE

Predicting mortality among septic patients presenting to the emergency department–a cross sectional analysis using machine learning

(2021) Adam Karlsson et al.   BMC EMERGENCY MEDICINE

Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology

(2020) Stephen Gerry et al.   BMJ-British Medical Journal

Development and Validation of a Quick Sepsis-Related Organ Failure Assessment-Based Machine-Learning Model for Mortality Prediction in Patients with Suspected Infection in the Emergency Department

(2020) Young Suk Kwon et al.   Journal of Clinical Medicine

Supervised classification techniques for prediction of mortality in adult patients with sepsis

(2020) Andrés Rodríguez et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model

(2020) Shelly Soffer et al.   AMERICAN JOURNAL OF MEDICINE

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

(2020) Samantha Cruz Rivera et al.   BMJ-British Medical Journal

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

(2020) Xiaoxuan Liu et al.   BMJ-British Medical Journal

Machine Learning Versus Usual Care for Diagnostic and Prognostic Prediction in the Emergency Department: A Systematic Review

(2020) Hashim Kareemi et al.   ACADEMIC EMERGENCY MEDICINE

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

(2019) Robert F. Wolff et al.   ANNALS OF INTERNAL MEDICINE

The value of vital sign trends in predicting and monitoring clinical deterioration: A systematic review

(2019) Idar Johan Brekke et al.   PLoS One

Prospective Validation of a Real-time Early Warning System for Monitoring Inpatient Mortality Risk Using Electronic Medical Record Data (Preprint)

(2019) Chengyin Ye et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Comparative influence of Acute Illness Severity and comorbidity on mortality

(2019) Richard Conway et al.   European Journal of Internal Medicine

A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score

(2019) Maximiliano Klug et al.   JOURNAL OF GENERAL INTERNAL MEDICINE

The Last Mile: Where Artificial Intelligence Meets Reality

(2019) Enrico Coiera   JOURNAL OF MEDICAL INTERNET RESEARCH

Mortality Prediction of Septic Patients in the Emergency Department Based on Machine Learning

(2019) Jau-Woei Perng et al.   Journal of Clinical Medicine

Trends in life expectancy and age-specific mortality in England and Wales, 1970–2016, in comparison with a set of 22 high-income countries: an analysis of vital statistics data

(2019) David A Leon et al.   Lancet Public Health

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration

(2019) Farah E. Shamout et al.   IEEE Journal of Biomedical and Health Informatics

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

Artificial intelligence and machine learning in emergency medicine

(2018) Jonathon Stewart et al.   Emergency Medicine Australasia

The impact of continuous versus intermittent vital signs monitoring in hospitals: A systematic review and narrative synthesis

(2018) C.L. Downey et al.   INTERNATIONAL JOURNAL OF NURSING STUDIES

Advancing In-Hospital Clinical Deterioration Prediction Models

(2018) Alvin D. Jeffery et al.   AMERICAN JOURNAL OF CRITICAL CARE

A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation

(2018) Muhammad Faisal et al.   Health Informatics Journal

Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes

(2018) Richard D Riley et al.   STATISTICS IN MEDICINE

A guide to systematic review and meta-analysis of prediction model performance

(2017) Thomas P A Debray et al.   BMJ-British Medical Journal

A guide to systematic review and meta-analysis of prediction model performance

(2017) Thomas P A Debray et al.   BMJ-British Medical Journal

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

Effectiveness of continuous or intermittent vital signs monitoring in preventing adverse events on general wards: a systematic review and meta-analysis

(2016) M. Cardona-Morrell et al.   INTERNATIONAL JOURNAL OF CLINICAL PRACTICE

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

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

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) G. S. Collins et al.   CIRCULATION

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Skåne Emergency Department Assessment of Patient Load (SEAL)—A Model to Estimate Crowding Based on Workload in Swedish Emergency Departments

(2015) Jens Wretborn et al.   PLoS One

Non-Invasive Continuous Respiratory Monitoring on General Hospital Wards: A Systematic Review

(2015) Kim van Loon et al.   PLoS One

What is the difference between missing completely at random and missing at random?

(2014) Krishnan Bhaskaran et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Prognosis and Risk Factors for Deterioration in Patients Admitted to a Medical Emergency Department

(2014) Daniel Pilsgaard Henriksen et al.   PLoS One

The impact of the use of the Early Warning Score (EWS) on patient outcomes: A systematic review

(2014) N. Alam et al.   RESUSCITATION

Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist

(2014) Karel G. M. Moons et al.   PLOS MEDICINE

Gradient boosting machines, a tutorial

(2013) Alexey Natekin et al.   Frontiers in Neurorobotics

Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study

(2012) Charlotte Barfod et al.   Scandinavian Journal of Trauma Resuscitation & Emergency Medicine

Patient Outcome Prediction with Heart Rate Variability and Vital Signs

(2010) Nan Liu et al.   Journal of Signal Processing Systems for Signal Image and Video Technology