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04/18/2023
The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research
In Australia, cardiovascular diseases (CVD) are managed in a complex and...
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04/14/2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Irregularly measured time series are common in many of the applied setti...
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03/22/2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
This paper presents a novel approach to simulating electronic health rec...
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12/12/2022
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Background: Encouraged by the success of pretrained Transformer models i...
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11/22/2022
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
Objective: To develop prognostic survival models for predicting adverse ...
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08/18/2022
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV
Clinical data usually cannot be freely distributed due to their highly c...
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04/22/2022
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
International Classification of Diseases (ICD) coding plays an important...
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03/12/2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms
In recent years, the machine learning research community has benefited t...
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12/07/2021
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project
These two synthetic datasets comprise vital signs, laboratory test resul...
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01/01/2021
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Objective:Electronic Medical Records (EMRs) contain clinical narrative t...
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11/28/2020
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach
AIMS. This study compared the performance of deep learning extensions of...
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05/21/2019
