Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Sandra Bringay"'
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0215649 (2019)
BackgroundCurrently, cardiovascular disease (CVD) is widely acknowledged to be the first leading cause of fatality in the world with 31% of all deaths worldwide and is predicted to remain as such in 2030. Furthermore, CVD is also a major cause of mor
Externí odkaz:
https://doaj.org/article/f9d8b76fe6fa4d7b9e0e1bd176fc73b4
Publikováno v:
World Wide Web. 26:799-825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fddca32d313c8567634b75b439d124ff
https://doi.org/10.1007/s11280-022-01116-0
https://doi.org/10.1007/s11280-022-01116-0
Autor:
Hugo Le Baher, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Nancy Rodriguez, Caroline Dunoyer
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Machine learning methods are becoming increasingly popular to anticipate critical risks in patients under surveillance reducing the burden on caregivers. In this paper, we propose an original modeling that benefits of recent developments in Graph Con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::823f617564e0bc614947e83f2407c91b
https://doi.org/10.3233/shti230205
https://doi.org/10.3233/shti230205
Autor:
Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Context: We present a post-hoc approach to improve the recall of ICD classification. Method: The proposed method can use any classifier as a backbone and aims to calibrate the number of codes returned per document. We test our approach on a new strat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fd89f0d271fd6dd696e5ec16b324b54
https://doi.org/10.3233/shti230264
https://doi.org/10.3233/shti230264
Autor:
Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean
Publikováno v:
International Database Engineered Applications Symposium Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb30acb441101459782c22c50a4cb8bc
https://doi.org/10.1145/3589462.3589480
https://doi.org/10.1145/3589462.3589480
Autor:
Alexis Delaforge, Jerome Aze, Sandra Bringay, Caroline Mollevi, Arnaud Sallaberry, Maximilien Servajean
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-18
While neural networks (NN) have been successfully applied to many NLP tasks, the way they function is often difficult to interpret. In this article, we focus on binary text classification via NNs and propose a new tool, which includes a visualization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3e70346280a92815c776485561901e1
https://doi.org/10.1109/tvcg.2022.3184247
https://doi.org/10.1109/tvcg.2022.3184247
Autor:
Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Maxime Louet, Pascal Poncelet, Laurent Gavara
Publikováno v:
Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022) ISBN: 9783031170232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1614dc163af2df4ed33cfc485aa8a37
https://doi.org/10.1007/978-3-031-17024-9_6
https://doi.org/10.1007/978-3-031-17024-9_6
Autor:
Pascal Poncelet, Jessica Pinaire, Jérôme Azé, Paul Landais, Christophe Genolini, Sandra Bringay
Publikováno v:
Health informatics journal. 27(3)
Acute coronary syndrome (ACS) in women is a growing public health issue and a death leading cause. We explored whether the hospital healthcare trajectory was characterizable using a longitudinal clustering approach in women with ACS. From the 2009–
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a3bc3d37beadcd4391c3fec63b6292e
https://pubmed.ncbi.nlm.nih.gov/34474603
https://pubmed.ncbi.nlm.nih.gov/34474603
Publikováno v:
MIE
Study of trajectory of care is attractive for predicting medical outcome. Models based on machine learning (ML) techniques have proven their efficiency for sequence prediction modeling compared to other models. Introducing pattern mining techniques c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::614e9ce4a90bdff48623ec82bcde6210
https://doi.org/10.3233/shti210167
https://doi.org/10.3233/shti210167
Autor:
Jessica, Pinaire, Etienne, Chabert, Jérôme, Azé, Sandra, Bringay, Pascal, Poncelet, Paul, Landais
Publikováno v:
Studies in health technology and informatics. 281
Study of trajectory of care is attractive for predicting medical outcome. Models based on machine learning (ML) techniques have proven their efficiency for sequence prediction modeling compared to other models. Introducing pattern mining techniques c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c913c93ca7f5abb97f710eae195f4902
https://pubmed.ncbi.nlm.nih.gov/34042752
https://pubmed.ncbi.nlm.nih.gov/34042752