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

Short-term mortality in older medical emergency patients can be predicted using clinical intuition: A prospective study

(2019) Noortje Zelis et al.   PLoS One

Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department

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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

LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock

(2019) Josef Fagerström et al.   Scientific Reports

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

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

Sepsis mortality score for the prediction of mortality in septic patients

(2018) Wan Fadzlina Wan Muhd Shukeri et al.   JOURNAL OF CRITICAL CARE

Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study

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Heart Rate Variability, Clinical and Laboratory Measures to Predict Future Deterioration in Patients Presenting with Sepsis

(2018) Douglas P. Barnaby et al.   SHOCK

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

(2018) Qingqing Mao et al.   BMJ Open

Performance Assessment of the Mortality in Emergency Department Sepsis Score, Modified Early Warning Score, Rapid Emergency Medicine Score, and Rapid Acute Physiology Score in Predicting Survival Outcomes of Adult Renal Abscess Patients in the Emergency Department

(2018) Su-Han Chang et al.   Biomed Research International

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study

(2018) Shane Nanayakkara et al.   PLOS MEDICINE

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

(2017) Steven Horng 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

A Severe Sepsis Mortality Prediction Model and Score for Use With Administrative Data

(2016) Dee W. Ford et al.   CRITICAL CARE MEDICINE

Assessment of Clinical Criteria for Sepsis

(2016) Christopher W. Seymour et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

(2016) Mervyn Singer et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Clinical intuition ratings are associated with morbidity and hospitalisation

(2015) M. Rohacek et al.   INTERNATIONAL JOURNAL OF CLINICAL PRACTICE

World Medical Association Declaration of Helsinki

(2013)   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Frequent Users of Emergency Departments: The Myths, the Data, and the Policy Implications

(2010) Eduardo LaCalle et al.   ANNALS OF EMERGENCY MEDICINE

Prediction of mortality in adult emergency department patients with sepsis

(2009) C Vorwerk et al.   EMERGENCY MEDICINE JOURNAL