Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Perez Concha, Oscar"'
Autor:
Fitzgerald, Oisin, Perez-Concha, Oscar, Gallego-Luxan, Blanca, Metke-Jimenez, Alejandro, Rudd, Lachlan, Jorm, Louisa
Irregularly measured time series are common in many of the applied settings in which time series modelling is a key statistical tool, including medicine. This provides challenges in model choice, often necessitating imputation or similar strategies.
Externí odkaz:
http://arxiv.org/abs/2304.07025
Publikováno v:
Journal of Biomedical Informatics 144 (2023) 102662
Background: Encouraged by the success of pretrained Transformer models in many natural language processing tasks, their use for International Classification of Diseases (ICD) coding tasks is now actively being explored. In this study, we investigate
Externí odkaz:
http://arxiv.org/abs/2212.05857
Publikováno v:
Journal of Biomedical Informatics 133 (2022) 104161
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable pred
Externí odkaz:
http://arxiv.org/abs/2204.10716
Publikováno v:
Journal of Biomedical Informatics 135 (2022) 104215
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value to medical researchers. However, this information is mixed with Personally Identifiable Information (PII) that presents risks to patient and clinician
Externí odkaz:
http://arxiv.org/abs/2101.00146
Publikováno v:
In Artificial Intelligence In Medicine October 2023 144
Autor:
Fitzgerald, Oisin, Perez-Concha, Oscar, Gallego-Luxan, Blanca, Metke-Jimenez, Alejandro, Rudd, Lachlan, Jorm, Louisa
Publikováno v:
In Journal of Biomedical Informatics October 2023 146
Autor:
Barbieri, Sebastiano, Kemp, James, Perez-Concha, Oscar, Kotwal, Sradha, Gallagher, Martin, Ritchie, Angus, Jorm, Louisa
Objective: To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-ris
Externí odkaz:
http://arxiv.org/abs/1905.08547
Autor:
Fitzgerald, Oisin1 (AUTHOR) o.fitzgerald@unsw.edu.au, Perez-Concha, Oscar1 (AUTHOR), Gallego-Luxan, Blanca1 (AUTHOR), Rudd, Lachlan2 (AUTHOR), Jorm, Louisa1 (AUTHOR)
Publikováno v:
Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-11. 11p.
Publikováno v:
In Journal of Biomedical Informatics November 2022 135
Autor:
Perez-Concha, Oscar1 o.perezconcha@unsw.edu.au, Goldstein, David2, Harris, Mark F.3, Laaksonen, Maarit A.4, Hanly, Mark1, Suchy, Sue5, Vajdic, Claire M.1
Publikováno v:
Australian Journal of Primary Health. 2023, Vol. 29 Issue 1, p20-29. 10p.