Select Publications
By Mr Leibo Liu
Book Chapters
2024, 'Adapting Large Language Models for Automated Summarisation of Electronic Medical Records in Clinical Coding', in , pp. 24 - 29, http://dx.doi.org/10.3233/SHTI240886
,Journal articles
2023, 'Automated ICD coding using extreme multi-label long text transformer-based models', Artificial Intelligence in Medicine, 144, http://dx.doi.org/10.1016/j.artmed.2023.102662
,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.', Interact J Med Res, 12, pp. e46322, http://dx.doi.org/10.2196/46322
,2023, 'The third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): an international, stepped wedge cluster randomised controlled trial', The Lancet, 402, pp. 27 - 40, http://dx.doi.org/10.1016/S0140-6736(23)00806-1
,2023, 'Effects of intensive blood pressure lowering on cerebral ischaemia in thrombolysed patients: insights from the ENCHANTED trial', eClinicalMedicine, 57, pp. 101849, http://dx.doi.org/10.1016/j.eclinm.2023.101849
,2022, 'De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models', Journal of Biomedical Informatics, 135, http://dx.doi.org/10.1016/j.jbi.2022.104215
,2022, 'Hierarchical label-wise attention transformer model for explainable ICD coding', Journal of Biomedical Informatics, 133, http://dx.doi.org/10.1016/j.jbi.2022.104161
,2021, 'De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models', Journal of Biomedical Informatics, 135, pp. 104215, http://dx.doi.org/10.1016/j.jbi.2022.104215
,2019, 'Intensive blood pressure reduction with intravenous thrombolysis therapy for acute ischaemic stroke (ENCHANTED): an international, randomised, open-label, blinded-endpoint, phase 3 trial', The Lancet, 393, pp. 877 - 888, http://dx.doi.org/10.1016/S0140-6736(19)30038-8
,Conference Papers
2019, 'Intensive Ambulance-delivered Blood Pressure Reduction In Hyper-acute Stroke Trial', in CEREBROVASCULAR DISEASES, KARGER, Manila, Philippines, pp. 111 - 111, presented at APSC 2019, Manila, Philippines, 02 October 2019
,2017, 'Impact of Disparities in Acute Stroke Care Between High and Middle Income Countries', in CEREBROVASCULAR DISEASES, KARGER, pp. 2 - 3, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000415238400006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,Preprints
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
,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
,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
,2022, Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models, http://dx.doi.org/10.1016/j.artmed.2023.102662
,2022, Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding, http://dx.doi.org/10.1016/j.jbi.2022.104161
,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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