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This paper presents a novel approach to simulating electronic health records (EHRs) using diffusion probabilistic models (DPMs).
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Evaluating identity disclosure risk in fully synthetic health data: Model development and validation
Khaled El Emam, Lucy Mosquera, and Jason Bass · 2020
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Andre Goncalves, Priyadip Ray, Braden Soper, Jennifer Stevens, Linda Coyle, and Ana Paula Sales · 2020
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Corgan: Correlation-capturing convolutional generative adversarial networks for generating synthetic healthcare records
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Diffusion models beat gans on image synthesis
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Learning to continually learn rapidly from few and noisy data
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Offline reinforcement learning with uncertainty for treatment strategies in sepsis, 2021
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Overcoming mode collapse with adaptive multi adversarial training, 2021
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Improved denoising diffusion probabilistic models
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Video diffusion models
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Srdiff: Single image super-resolution with diffusion probabilistic models
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Diffusion models for missing value imputation in tabular data
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