Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Suárez Paniagua, Víctor"'
Publikováno v:
emnlp main, 2023, pages 2021 to 2032
Recently, using large pretrained Transformer models for transfer learning tasks has evolved to the point where they have become one of the flagship trends in the Natural Language Processing (NLP) community, giving rise to various outlooks such as pro
Externí odkaz:
http://arxiv.org/abs/2405.14437
Autor:
Suárez-Paniagua, Víctor1,2 (AUTHOR) vsuarez@ed.ac.uk, Casey, Arlene1 (AUTHOR), A. Marwick, Charis3 (AUTHOR), K. Burton, Jennifer4 (AUTHOR), Callaby, Helen5 (AUTHOR), Guthrie, Isobel6 (AUTHOR), Guthrie, Bruce1 (AUTHOR), Alex, Beatrice1,7,8 (AUTHOR)
Publikováno v:
PLoS ONE. 12/5/2024, Vol. 19 Issue 12, p1-12. 12p.
Early detection of relevant locations in a piece of news is especially important in extreme events such as environmental disasters, war conflicts, disease outbreaks, or political turmoils. Additionally, this detection also helps recommender systems t
Externí odkaz:
http://arxiv.org/abs/2212.11856
Autor:
Dong, Hang, Suárez-Paniagua, Víctor, Zhang, Huayu, Wang, Minhong, Casey, Arlene, Davidson, Emma, Chen, Jiaoyan, Alex, Beatrice, Whiteley, William, Wu, Honghan
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes. Rare diseases are challenging to be identified due to few cases available for machine learning and the need for data annotat
Externí odkaz:
http://arxiv.org/abs/2205.05656
Autor:
Dong, Hang, Suárez-Paniagua, Víctor, Zhang, Huayu, Wang, Minhong, Whitfield, Emma, Wu, Honghan
The identification of rare diseases from clinical notes with Natural Language Processing (NLP) is challenging due to the few cases available for machine learning and the need of data annotation from clinical experts. We propose a method using ontolog
Externí odkaz:
http://arxiv.org/abs/2105.01995
Autor:
Casey, Arlene, Davidson, Emma, Poon, Michael, Dong, Hang, Duma, Daniel, Grivas, Andreas, Grover, Claire, Suárez-Paniagua, Víctor, Tobin, Richard, Whiteley, William, Wu, Honghan, Alex, Beatrice
Publikováno v:
BMC Medical Informatics and Decision Making 2021
NLP has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to radiology is of significance but recent reviews on th
Externí odkaz:
http://arxiv.org/abs/2102.09553
Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usually done manually in hospitals but could potentially be automated to improve the efficiency and accurac
Externí odkaz:
http://arxiv.org/abs/2010.15728
Publikováno v:
In Journal of Biomedical Informatics April 2021 116
Autor:
Dong, Hang1,2,3 (AUTHOR) hang.dong@cs.ox.ac.uk, Suárez-Paniagua, Víctor1,2 (AUTHOR), Zhang, Huayu4 (AUTHOR), Wang, Minhong5 (AUTHOR), Casey, Arlene4 (AUTHOR), Davidson, Emma6 (AUTHOR), Chen, Jiaoyan7 (AUTHOR), Alex, Beatrice8 (AUTHOR), Whiteley, William2,6 (AUTHOR), Wu, Honghan2,5 (AUTHOR) honghan.wu@ucl.ac.uk
Publikováno v:
BMC Medical Informatics & Decision Making. 5/5/2023, Vol. 23 Issue 1, p1-17. 17p.
Publikováno v:
In Journal of Biomedical Informatics November 2019 99