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Automated Respiratory Event Detection Using Deep Neural Networks
The gold standard to assess respiration during sleep is polysomnography;...
01/12/2021 ∙ by Thijs E Nassi, et al. ∙
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EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
Researchers require timely access to real-world longitudinal electronic ...
12/18/2020 ∙ by Siddharth Biswal, et al. ∙
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EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Deep generative models have enabled the automated synthesis of high-qual...
07/10/2020 ∙ by Siddharth Biswal, et al. ∙
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CLARA: Clinical Report Auto-completion
Generating clinical reports from raw recordings such as X-rays and elect...
02/26/2020 ∙ by Siddharth Biswal, et al. ∙
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CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Rare diseases affect hundreds of millions of people worldwide but are ha...
11/26/2019 ∙ by Limeng Cui, et al. ∙
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Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Massive electronic health records (EHRs) enable the success of learning ...
11/23/2019 ∙ by Siddharth Biswal, et al. ∙
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RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
With the improvement of medical data capturing, vast amount of continuou...
07/23/2018 ∙ by Yanbo Xu, et al. ∙
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HAMLET: Interpretable Human And Machine co-LEarning Technique
Efficient label acquisition processes are key to obtaining robust classi...
03/26/2018 ∙ by Olivier Deiss, et al. ∙
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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Access to electronic health record (EHR) data has motivated computationa...
03/19/2017 ∙ by Edward Choi, et al. ∙
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