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07/27/2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures
Initial hours of hospital admission impact clinical trajectory, but earl...
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04/07/2022
Interval Bound Propagationx2013aided Fewx002dshot Learning
Few-shot learning aims to transfer the knowledge acquired from training ...
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10/23/2020
Counterfactual Representation Learning with Balancing Weights
A key to causal inference with observational data is achieving balance i...
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10/15/2020
Double Robust Representation Learning for Counterfactual Prediction
Causal inference, or counterfactual prediction, is central to decision m...
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10/15/2020
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
Glaucoma is the leading cause of irreversible blindness in the world, af...
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08/26/2020
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
Indices quantifying the performance of classifiers under class-imbalance...
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04/27/2020
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Background: During the early stages of hospital admission, clinicians mu...
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04/27/2020
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications
Accurate prediction of postoperative complications can inform shared dec...
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10/28/2019
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
To test the hypothesis that accuracy, discrimination, and precision in p...
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03/22/2019
Generative Adversarial Minority Oversampling
Class imbalance is a long-standing problem relevant to a number of real-...
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08/09/2018
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
Fuzzy clustering methods identify naturally occurring clusters in a data...
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12/22/2017
