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06/24/2023
Individualized Dosing Dynamics via Neural Eigen Decomposition
Dosing models often use differential equations to model biological dynam...
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07/16/2022
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event
A datathon is a time-constrained competition involving data science appl...
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05/11/2022
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit
Objective: Epileptic seizures are relatively common in critically-ill ch...
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06/01/2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
Time series are often complex and rich in information but sparsely label...
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05/28/2021
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Self-supervised learning methods for computer vision have demonstrated t...
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08/25/2020
Using Deep Networks for Scientific Discovery in Physiological Signals
Deep neural networks (DNN) have shown remarkable success in the classifi...
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03/24/2020
