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2020 – today
- 2022
[j3]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: 104161 (2022)- [j2]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: 104215 (2022) - [i9]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 abs/2203.06369 (2022) - [i8]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding. CoRR abs/2204.10716 (2022) - [i7]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 abs/2208.08655 (2022) - [i6]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 abs/2211.11965 (2022) - [i5]Leibo Liu, Óscar Pérez Concha, Anthony Nguyen, Vicki Bennett, Louisa Jorm:
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models. CoRR abs/2212.05857 (2022) - 2021
- [j1]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): 1642-1650 (2021) - [i4]Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. CoRR abs/2101.00146 (2021) - [i3]Nicholas I-Hsien Kuo, Mark N. 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 abs/2112.03914 (2021) - 2020
- [i2]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 abs/2011.14032 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1905.08547 (2019)
Coauthor Index
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