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Louisa Jorm

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Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit

Apr 14, 2023
Oisin Fitzgerald, Oscar Perez-Concha, Blanca Gallego-Luxan, Alejandro Metke-Jimenez, Lachlan Rudd, Louisa Jorm

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Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models

Mar 22, 2023
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri

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Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models

Dec 13, 2022
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm

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Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation

Nov 22, 2022
Juan C. Quiroz, David Brieger, Louisa Jorm, Raymond W Sy, Benjumin Hsu, Blanca Gallego

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Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

Aug 18, 2022
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri

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Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding

Apr 22, 2022
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm

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The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms

Mar 12, 2022
Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Louisa Jorm, Sebastiano Barbieri

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Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project

Dec 07, 2021
Nicholas I-Hsien Kuo, Mark Polizzotto, Simon Finfer, Louisa Jorm, Sebastiano Barbieri

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De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers

Jan 01, 2021
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm

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Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach

Nov 28, 2020
Sebastiano Barbieri, Suneela Mehta, Billy Wu, Chrianna Bharat, Katrina Poppe, Louisa Jorm, Rod Jackson

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