A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk. - Sebastiano Barbieri; Óscar Pérez Concha; Sradha Kotwal; Martin Gallagher; Angus Ritchie; Louisa Jorm (CoRR, 2019)

Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach. - Sebastiano Barbieri; Suneela Mehta; Billy Wu; Chrianna Bharat; Katrina Poppe; Louisa Jorm; Rod Jackson (CoRR, 2020)

De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. - Leibo Liu; Óscar Pérez Concha; Anthony N. Nguyen; Vicki Bennett; Louisa Jorm (CoRR, 2021)

Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project. - Nicholas I-Hsien Kuo; Mark N. Polizzotto; Simon Finfer; Louisa Jorm; Sebastiano Barbieri (CoRR, 2021)

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. - Oisin Fitzgerald; Óscar Pérez Concha; Blanca Gallego; Manoj K. Saxena; Lachlan Rudd; Alejandro Metke-Jimenez; Louisa Jorm (J. Am. Medical Informatics Assoc., 2021)

The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. - Nicholas I-Hsien Kuo; Mark N. Polizzotto; Simon Finfer; Federico Garcia; Anders Sönnerborg; Maurizio Zazzi; Michael Böhm; Louisa Jorm; Sebastiano Barbieri (CoRR, 2022)

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV. - Nicholas I-Hsien Kuo; Louisa Jorm; Sebastiano Barbieri (CoRR, 2022)

Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation. - Juan C. Quiroz; David Brieger; Louisa Jorm; Raymond W. Sy; Benjumin Hsu; Blanca Gallego (CoRR, 2022)

Hierarchical label-wise attention transformer model for explainable ICD coding. - Leibo Liu; Óscar Pérez Concha; Anthony N. Nguyen; Vicki Bennett; Louisa Jorm (J. Biomed. Informatics, 2022)

De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models. - Leibo Liu; Óscar Pérez Concha; Anthony N. Nguyen; Vicki Bennett; Louisa Jorm (J. Biomed. Informatics, 2022)

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models. - Nicholas I-Hsien Kuo; Louisa Jorm; Sebastiano Barbieri (CoRR, 2023)

Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit. - Oisin Fitzgerald; Óscar Pérez Concha; Blanca Gallego Luxan; Alejandro Metke-Jimenez; Lachlan Rudd; Louisa Jorm (CoRR, 2023)

The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research. - Victoria Blake; Louisa Jorm; Jennifer Yu; Astin Lee; Blanca Gallego; Sze-Yuan Ooi (CoRR, 2023)

Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. - Nicholas I-Hsien Kuo; Federico Garcia; Anders Sönnerborg; Michael Böhm; Rolf Kaiser; Maurizio Zazzi; Mark N. Polizzotto; Louisa Jorm; Sebastiano Barbieri (J. Biomed. Informatics, 2023)

Automated ICD coding using extreme multi-label long text transformer-based models. - Leibo Liu; Óscar Pérez Concha; Anthony N. Nguyen; Vicki Bennett; Louisa Jorm (Artif. Intell. Medicine, 2023)

Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit. - Oisin Fitzgerald; Óscar Pérez Concha; Blanca Gallego Luxan; Alejandro Metke-Jimenez; Lachlan Rudd; Louisa Jorm (J. Biomed. Informatics, 2023)

Predictive analytics for cardiovascular patient readmission and mortality: An explainable approach. - Leo C. E. Huberts; Sihan Li; Victoria Blake; Louisa Jorm; Jennifer Yu; Sze-Yuan Ooi; Blanca Gallego (Comput. Biol. Medicine, 2024)

Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding. - Bokang Bi; Leibo Liu; Sanja Lujic; Louisa Jorm; Óscar Pérez Concha (CoRR, 2024)

Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2024)

CK4Gen: A Knowledge Distillation Framework for Generating High-Utility Synthetic Survival Datasets in Healthcare. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2024)

Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records. - Nicholas I-Hsien Kuo; Blanca Gallego; Louisa Jorm (CoRR, 2025)