By Dr Oscar Perez Concha

Preprints

Lukmanjaya W; Butler T; Cox S; Perez-Concha O; Bromfield L; Karystianis G, 2025, Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks (Preprint), http://dx.doi.org/10.2196/preprints.73579

Bi B; Liu L; Lujic S; Jorm L; Perez-Concha O, 2024, Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding, http://dx.doi.org/10.48550/arxiv.2409.14638

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Metke-Jimenez A; Rudd L; Jorm L, 2023, Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit, http://dx.doi.org/10.48550/arxiv.2304.07025

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models, http://dx.doi.org/10.48550/arxiv.2212.05857

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models, http://dx.doi.org/10.48550/arxiv.2101.00146

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding, http://dx.doi.org/10.48550/arxiv.2204.10716

Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 2020, Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk, http://dx.doi.org/10.48550/arxiv.1905.08547

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, Curation and description of a blood glucose management and nutritional support cohort using the eICU collaborative research database, http://dx.doi.org/10.1101/2023.04.20.23288845

Kuo NI-H; Perez-Concha O; Hanly M; Mnatzaganian E; Hao B; Di Sipio M; Yu G; Vanjara J; Valerie IC; de Oliveira Costa J; Churches T; Lujic S; Hegarty J; Jorm L; Barbieri S, Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project (Preprint), http://dx.doi.org/10.2196/preprints.51388

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, The relationship between hyperglycaemia on admission and patient outcome is modified by hyperlactatemia and diabetic status: a retrospective analysis of the eICU collaborative research database, http://dx.doi.org/10.1101/2023.05.01.23289339

Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study (Preprint), http://dx.doi.org/10.2196/preprints.46322

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