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Edelson, Dana
One or more keywords matched the following items that are connected to Edelson, Dana
Item TypeName
Concept Electronics
Concept Electronic Health Records
Academic Article Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.
Academic Article Multicenter development and validation of a risk stratification tool for ward patients.
Academic Article Reply to Letter: Electronic documentation of cardiac arrests. Electronic resuscitation documentation: Tremendous promise with real-world challenges.
Academic Article Real-Time Risk Prediction on the Wards: A Feasibility Study.
Academic Article Development of a Multicenter Ward-Based AKI Prediction Model.
Academic Article Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study.
Academic Article The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.
Academic Article Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.
Academic Article 'Who's Covering This Patient?' Developing a First-Contact Provider (FCP) Designation in an Electronic Health Record.
Academic Article Electronic cardiac arrest triage score best predicts mortality after intervention in patients with massive and submassive pulmonary embolism.
Academic Article Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients.
Academic Article Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients.
Academic Article Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study.
Academic Article Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools.
Academic Article Determining the Electronic Signature of Infection in Electronic Health Record Data.
Academic Article Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU.
Grant Opening The Black Box: Enhancing Machine Learning Interpretability To Optimize Clinical Response To Sudden Deterioration In COVID-19 Patients
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  • Electronics