Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Matúš Falis"'
Autor:
Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract Clinical coding is the task of transforming medical information in a patient’s health records into structured codes so that they can be used for statistical analysis. This is a cognitive and time-consuming task that follows a standard proc
Externí odkaz:
https://doaj.org/article/a8e0c21364d749e5b4338ceea84c3362
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective and Approach Many people do not respond to antidepressants and our poor mechanistic understanding of antidepressant response has hampered efforts to personalise treatment. Understanding how and when antidepressants work at an individual lev
Externí odkaz:
https://doaj.org/article/8785a088b0894c0988b64c660f2a6914
Publikováno v:
Falis, M, Dong, H, Birch, A & Alex, B 2021, CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification . in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Stroudsburg, PA, pp. 907-912, 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 7/11/21 . https://doi.org/10.18653/v1/2021.emnlp-main.69
Large-Scale Multi-Label Text Classification (LMTC) includes tasks with hierarchical label spaces, such as automatic assignment of ICD-9 codes to discharge summaries. Performance of models in prior art is evaluated with standard precision, recall, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffff3e896af669d1c84f17ee8a180da5
Autor:
Keith W. Muir, Aneta Lisowska, Alison O'Neil, Matúš Falis, David Harris-Birtill, Patrick Schrempf, Maciej Pajak, Hannah Watson, Shadia Mikhael
Publikováno v:
Interpretable and Annotation-Efficient Learning for Medical Image Computing ISBN: 9783030611651
iMIMIC/MIL3iD/LABELS@MICCAI
iMIMIC/MIL3iD/LABELS@MICCAI
Training medical image analysis models requires large amounts of expertly annotated data which is time-consuming and expensive to obtain. Images are often accompanied by free-text radiology reports which are a rich source of information. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f2233a28c9e2ca522a93de8ad9cfc3
http://arxiv.org/abs/2007.16152
http://arxiv.org/abs/2007.16152
Publikováno v:
RE
Communication about requirements is often handled in issue tracking systems, especially in a distributed setting. As issue tracking systems also contain bug reports or programming tasks, the software feature requests of the users are often difficult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17cb971b4563bed230adc259aa93834e
https://doi.org/10.1109/re.2016.8
https://doi.org/10.1109/re.2016.8
Autor:
Alison O'Neil, Aneta Lisowska, Lucas Deckers, Matúš Falis, Patrick Schrempf, Shadia Mikhael, Maciej Pajak, Sotirios A. Tsaftaris
Publikováno v:
Scopus-Elsevier
LOUHI@EMNLP
University of St Andrews CRIS
LOUHI@EMNLP
University of St Andrews CRIS
We present a semantically interpretable system for automated ICD coding of clinical text documents. Our contribution is an ontological attention mechanism which matches the structure of the ICD ontology, in which shared attention vectors are learned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6263d1a30ddf0270df77d7ad8fd0fe22
http://www.scopus.com/inward/record.url?eid=2-s2.0-85119384836&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85119384836&partnerID=MN8TOARS