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01/21/2023
ManyDG: Many-domain Generalization for Healthcare Applications
The vast amount of health data has been continuously collected for each ...
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11/09/2022
Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning
IMPORTANCE: An interpretable machine learning model can provide faithful...
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03/09/2022
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It
Many fundamental problems affecting the care of critically ill patients ...
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11/13/2021
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records
Dementia is a neurodegenerative disorder that causes cognitive decline a...
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10/27/2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Objective: In this paper, we aim to learn robust vector representations ...
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06/15/2021
Augmented Tensor Decomposition with Stochastic Optimization
Tensor decompositions are powerful tools for dimensionality reduction an...
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03/05/2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Despite deep learning (DL) success in classification problems, DL classi...
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02/24/2021
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation
Objective: Sleep related respiratory abnormalities are typically detecte...
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01/12/2021
Automated Respiratory Event Detection Using Deep Neural Networks
The gold standard to assess respiration during sleep is polysomnography;...
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06/21/2020
Clinically Relevant Mediation Analysis using Controlled Indirect Effect
Mediation analysis allows one to use observational data to estimate the ...
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02/26/2020
CLARA: Clinical Report Auto-completion
Generating clinical reports from raw recordings such as X-rays and elect...
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10/14/2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Sleep staging is a crucial task for diagnosing sleep disorders. It is te...
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03/26/2018
HAMLET: Interpretable Human And Machine co-LEarning Technique
Efficient label acquisition processes are key to obtaining robust classi...
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09/08/2005