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Search Results to David Albers

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Albers, David

One or more keywords matched the following items that are connected to Albers, David

Item Type	Name
Concept	Machine Learning
Academic Article	Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Academic Article	The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.
Academic Article	Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes.
Academic Article	Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.
Academic Article	Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.
Grant	Mechanistic Machine Learning
Academic Article	Enabling personalized decision support with patient-generated data and attributable components.
Academic Article	Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events.
Academic Article	From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.
Academic Article	The Development, Optimization, and Validation of Four Different Machine Learning Algorithms to Identify Ventilator Dyssynchrony.
Academic Article	Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial.
Academic Article	Diagnostic Stewardship of Blood Cultures in the Pediatric ICU Using Machine Learning.
Academic Article	Navigating the landscape of personalized oncology: overcoming challenges and expanding horizons with computational modeling.
Academic Article	A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism.
Academic Article	Predicting intracranial pressure monitor placement in children with traumatic brain injury: a prospective cohort study to develop a clinical decision support tool.

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Machine Learning