Machine learning and artificial intelligence: applications in healthcare epidemiology

Regression Models and Life-Tables

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Regression Models and Life-Tables

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The Elements of Statistical Learning

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Early goal-directed therapy in the treatment of severe sepsis and septic shock

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I.—COMPUTING MACHINERY AND INTELLIGENCE

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Computing Machinery and Intelligence (1950)

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Some Studies in Machine Learning Using the Game of Checkers

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Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

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An overview of clinical decision support systems: Benefits, risks, and strategies for success

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Statistics versus machine learning

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Machine Learning and Health Care Disparities in Dermatology

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Nationwide Trends of Severe Sepsis in the 21st Century (2000–2007)

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A targeted real-time early warning score (TREWScore) for septic shock.

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Grand challenges in clinical decision support

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Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology

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Implementation of a bundle of quality indicators for the early management of severe sepsis and septic shock is associated with decreased mortality*

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What is Machine Learning? A Primer for the Epidemiologist

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Burden of Community-Acquired Pneumonia in North American Adults

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

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Crowding Delays Treatment and Lengthens Emergency Department Length of Stay, Even Among High-Acuity Patients

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Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes

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Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis

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Triage Performance in Emergency Medicine: A Systematic Review

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Effect of a rapid response system for patients in shock on time to treatment and mortality during 5 years*

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Heart Rate Characteristics and Clinical Signs in Neonatal Sepsis

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How to make predictions about future infectious disease risks

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Accuracy and Reliability of Emergency Department Triage Using the Emergency Severity Index: An International Multicenter Assessment

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More Patients Are Triaged Using the Emergency Severity Index Than Any Other Triage Acuity System in the United States

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Lessons Learned About Autonomous AI: Finding a Safe, Efficacious, and Ethical Path Through the Development Process

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

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The Systemic Inflammatory Response Syndrome (SIRS) in acutely hospitalised medical patients: a cohort study

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Incidence, direct costs and duration of hospitalization of patients hospitalized with community acquired pneumonia: A nationwide retrospective claims database analysis

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Assessing Missing Data Assumptions in EHR-Based Studies: A Complex and Underappreciated Task

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Early prediction of septic shock in hospitalized patients

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Prediction of mortality in adult emergency department patients with sepsis

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Autoregressive Hidden Markov Models for the Early Detection of Neonatal Sepsis

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Data and Measurement Issues in the Analysis of Health Disparities

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Enrollment into a time sensitive clinical study in the critical care setting: results from computerized septic shock sniffer implementation

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Automated electronic medical record sepsis detection in the emergency department

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Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data

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Community-Acquired Pneumonia: The U.S. Perspective

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Physiological Monitoring for Critically Ill Patients: Testing a Predictive Model for the Early Detection of Sepsis

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A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study

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Working at the intersection of context, culture, and technology: Provider perspectives on antimicrobial stewardship in the emergency department using electronic health record clinical decision support

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Readmission Risk Trajectories for Patients With Heart Failure Using a Dynamic Prediction Approach: Retrospective Study

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Implementation of a bundle of quality indicators for the early management of severe sepsis and septic shock is associated with decreased mortality

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Where is my infusion pump? Harnessing network dynamics for improved hospital equipment fleet management

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63

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Issues in Community-Acquired Pneumonia

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Development of an Electronic Algorithm to Identify in Real Time Adults Hospitalized With Suspected Community-Acquired Pneumonia

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169. Development of a Real Time Electronic Algorithm to Identify Hospitalized Patients with Community-Acquired Pneumonia

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Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions

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Η διαχρονική ηθική προσέγγιση της εφαρμογής του TRIAGE στην πράξη

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To Triage, To Triage

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Improving the Prompt Identification of the Emergency Severity Index Level 2 Patient in Triage: Rapid Triage and the Registered Nurse Greeter

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Triage nurses’ decisions using the National Triage Scale for Australian emergency departments

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Triage - a South African perspective : main topic

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