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Edelson, Dana

One or more keywords matched the following items that are connected to Edelson, Dana

Item Type	Name
Academic Article	Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.
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	Predictors of In-Hospital Mortality After Rapid Response Team Calls in a 274 Hospital Nationwide Sample.
Academic Article	Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.
Academic Article	Scratching the Surface of Clinical Deterioration With Deep Learning.
Academic Article	Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.
Academic Article	Less is more: Detecting clinical deterioration in the hospital with machine learning using only age, heart rate, and respiratory rate.
Academic Article	Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU.
Academic Article	The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial.
Academic Article	Identifying infected patients using semi-supervised and transfer learning.
Concept	Machine Learning
Grant	Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury
Grant	Opening The Black Box: Enhancing Machine Learning Interpretability To Optimize Clinical Response To Sudden Deterioration In COVID-19 Patients
Academic Article	Multicenter Development and Prospective Validation of eCARTv5: A Gradient Boosted Machine Learning Early Warning Score.
Academic Article	Development and external validation of deep learning clinical prediction models using variable-length time series data.
Grant	A Rapid Diagnostic of Risk in COVID-19 Patients to Improve Outcomes and Critical Resource Allocation Using Machine Learning
Grant	Using Machine Learning to Identify, Risk Stratify, and Guide Personalized Treatment of COVID-19 Patients
Academic Article	Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score.
Academic Article	Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection.
Academic Article	Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.
Academic Article	Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients.
Academic Article	Multicenter Development and Prospective Validation of eCARTv5: A Gradient-Boosted Machine-Learning Early Warning Score.
Academic Article	Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: An Observational Cohort Study.
Academic Article	Multicenter Development and Prospective Validation of eCARTv5: A Gradient-Boosted Machine-Learning Early Warning Score.
Academic Article	Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI.
Academic Article	Machine Learning for Predicting Critical Events Among Hospitalized Children.

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