Predicting hospital admission at emergency department triage using machine learning

Comparison of Glasgow Admission Prediction Score and Amb Score in predicting need for inpatient care

(2018) Allan Cameron et al.   EMERGENCY MEDICINE JOURNAL

Text mining approach to predict hospital admissions using early medical records from the emergency department

(2017) Filipe R. Lucini et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Early Prediction Model of Patient Hospitalization From the Pediatric Emergency Department

(2017) Yuval Barak-Corren et al.   PEDIATRICS

Discovery of temporal and disease association patterns in condition-specific hospital utilization rates

(2017) Julian S. Haimovich et al.   PLoS One

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning

(2017) Steven Horng et al.   PLoS One

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

(2017) Stephen F. Weng et al.   PLoS One

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

Predicting admission at triage: are nurses better than a simple objective score?

(2016) Allan Cameron et al.   EMERGENCY MEDICINE JOURNAL

Ensuring the Quality of Quality Metrics for Emergency Care

(2016) James G. Adams   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

In-Hospital Outcomes and Costs Among Patients Hospitalized During a Return Visit to the Emergency Department

(2016) Amber K. Sabbatini et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

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

Extracting information from the text of electronic medical records to improve case detection: a systematic review

(2016) Elizabeth Ford et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes

(2014) Chris Poulin et al.   PLoS One

Decreasing Length of Stay in the Emergency Department With a Split Emergency Severity Index 3 Patient Flow Model

(2013) Rajiv Arya et al.   ACADEMIC EMERGENCY MEDICINE

Understanding Why Patients Of Low Socioeconomic Status Prefer Hospitals Over Ambulatory Care

(2013) Shreya Kangovi et al.   HEALTH AFFAIRS

Health Information Exchange Improves Identification Of Frequent Emergency Department Users

(2013) Jason S. Shapiro et al.   HEALTH AFFAIRS

Predictive Modeling With Big Data: Is Bigger Really Better?

(2013) Enric Junqué de Fortuny et al.   Big Data

Predicting Emergency Department Inpatient Admissions to Improve Same-day Patient Flow

(2012) Jordan S. Peck et al.   ACADEMIC EMERGENCY MEDICINE

Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

(2012) Karel G M Moons et al.   HEART

Predicting Hospital Admissions at Emergency Department Triage Using Routine Administrative Data

(2011) Yan Sun et al.   ACADEMIC EMERGENCY MEDICINE

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

The Effect of Emergency Department Crowding on Clinically Oriented Outcomes

(2009) Steven L. Bernstein et al.   ACADEMIC EMERGENCY MEDICINE

Youden Index and Optimal Cut-Point Estimated from Observations Affected by a Lower Limit of Detection

(2008) Marcus D. Ruopp et al.   BIOMETRICAL JOURNAL

Exploiting missing clinical data in Bayesian network modeling for predicting medical problems

(2007) Jau-Huei Lin et al.   JOURNAL OF BIOMEDICAL INFORMATICS