Louisa Jorm

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Atrial Fibrillation

Recurrent Neural Networks

Intensive Care Unit

Top Venues

J. Biomed. Informatics

Artif. Intell. Medicine

Comput. Biol. Medicine

Publications

Leo C. E. Huberts, Sihan Li, Victoria Blake, Louisa Jorm, Jennifer Yu, Sze-Yuan Ooi, Blanca Gallego
Predictive analytics for cardiovascular patient readmission and mortality: An explainable approach. Comput. Biol. Medicine 174 (2024)
Nicholas I-Hsien Kuo, Federico Garcia, Anders Sönnerborg, Michael Böhm, Rolf Kaiser, Maurizio Zazzi, Mark N. Polizzotto, Louisa Jorm, Sebastiano Barbieri
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV. J. Biomed. Informatics 144 (2023)
Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego Luxan, Alejandro Metke-Jimenez, Lachlan Rudd, Louisa Jorm
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit. CoRR (2023)
Victoria Blake, Louisa Jorm, Jennifer Yu, Astin Lee, Blanca Gallego, Sze-Yuan Ooi
The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research. CoRR (2023)
Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego Luxan, Alejandro Metke-Jimenez, Lachlan Rudd, Louisa Jorm
Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit. J. Biomed. Informatics 146 (2023)
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models. CoRR (2023)
Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm
Automated ICD coding using extreme multi-label long text transformer-based models. Artif. Intell. Medicine 144 (2023)
Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm
Hierarchical label-wise attention transformer model for explainable ICD coding. J. Biomed. Informatics 133 (2022)
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV. CoRR (2022)
Leibo Liu, Óscar Pérez Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding. CoRR (2022)
Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, Federico Garcia, Anders Sönnerborg, Maurizio Zazzi, Michael Böhm, Louisa Jorm, Sebastiano Barbieri
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. CoRR (2022)
Juan C. Quiroz, David Brieger, Louisa Jorm, Raymond W. Sy, Benjumin Hsu, Blanca Gallego
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation. CoRR (2022)
Leibo Liu, Óscar Pérez Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models. CoRR (2022)
Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm
De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models. J. Biomed. Informatics 135 (2022)
Nicholas I-Hsien Kuo, Mark Polizzotto, Simon Finfer, Louisa Jorm, Sebastiano Barbieri
Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project. CoRR (2021)
Leibo Liu, Óscar Pérez Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. CoRR (2021)
Oisin Fitzgerald, Óscar Pérez Concha, Blanca Gallego, Manoj K. Saxena, Lachlan Rudd, Alejandro Metke-Jimenez, Louisa Jorm
Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. J. Am. Medical Informatics Assoc. 28 (8) (2021)
Sebastiano Barbieri, Suneela Mehta, Billy Wu, Chrianna Bharat, Katrina Poppe, Louisa Jorm, Rod Jackson
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach. CoRR (2020)
Sebastiano Barbieri, Óscar Pérez Concha, Sradha Kotwal, Martin Gallagher, Angus Ritchie, Louisa Jorm
A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk. CoRR (2019)