Alistair E Johnson

Latest

• A Comparative Analysis of Sepsis Identification Methods in an Electronic Database
• APACHE Outcomes Across Venues predicting inpatient mortality using electronic medical record data
• Bayesian fusion of physiological measurements using a signal quality extension
• Incidence and Risk Factors Associated with Hyperactive, Hypoactive, and Mixed Delirium
• Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
• Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data
• Prolonged elevated heart rate and 90-Day survival in acutely Ill patients: Data from the MIMIC-III database
• tableone: An open source Python package for producing summary statistics for research papers
• The eICU Collaborative Research Database, a freely available multi-center database for critical care research
• Analyzing the eICU Collaborative Research Database
• Clinical Intervention Prediction and Understanding with Deep Neural Networks
• Dynamics of multivariate vital sign time series and severe sepsis among patients in critical care
• False arrhythmia alarm reduction in the intensive care unit
• Mechanical power during mechanical ventilation of critically ill patients
• Real-time mortality prediction in the Intensive Care Unit
• Reproducibility in critical care: a mortality prediction case study
• Right ventricular function, peripheral edema, and acute kidney injury in critical illness
• The MIMIC Code Repository: enabling reproducibility in critical care research
• Toward a robust estimation of respiratory rate from pulse oximeters
• Machine learning and decision support in critical care
• External Validation Of The Sepsis-3 Guidelines
• Impact Of Intensive Care Unit Discharge Delays
• A comparison of single channel fetal ECG extraction methods
• Crowd-sourced annotation of ECG signals using contextual information
• Data preprocessing and mortality prediction: the Physionet/CinC 2012 challenge revisited
• Physiological trajectory of patients pre and post ICU discharge
• R-peak estimation using multimodal lead switching
• An echo state neural network for foetal ECG extraction optimised by random search
• Patient Specific Predictions in the Intensive Care Unit Using a Bayesian Ensemble
• Pre-processing methods for prognostic models