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Preprints

Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, 2023, 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

Chen C; Ouyang M; Ong S; Zhang L; Zhang G; Delcourt C; Mair G; Liu L; Billot L; Li Q; Chen X; Parsons M; Broderick J; Demchuk A; Bath P; Donnan G; Levi C; Chalmers J; Lindley R; Martins S; Pontes-Neto O; Venturelli PM; Olavarría V; Lavados P; Robinson T; Wardlaw J; Li G; Wang X; Song L; Anderson C; Investigators ENCHANTED, 2023, Effects of Intensive Blood Pressure Lowering on Cerebral Ischaemia in Thrombolysed Patients: Insights from the Enchanted Trial, http://dx.doi.org/10.2139/ssrn.4314023

Ma L; Hu X; Song L; Chen X; Ouyang M; Billot L; Li Q; Malavera A; Li X; Venturelli PM; de Silva A; Thang NH; Wahab K; Pandian J; Wasay M; Pontes-Neto OM; Abanto C; Arauz A; Shi H; Tang G; Zhu S; She X; Liu L; Sakamoto Y; You S; Han Q; Crutzen B; Cheung E; Li Y; Wang X; Chen C; Liu F; Zhao Y; Wu B; Lu M; Li H; Liu Y; Jiang Y; Xu J; You C; Anderson CS, 2023, The Third INTEnsive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): An International Stepped-Wedge Cluster-Randomised Controlled Trial, http://dx.doi.org/10.2139/ssrn.4374056

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/10.1016/j.artmed.2023.102662

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/10.1016/j.jbi.2022.104161

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2020, 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


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