Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Jérôme Azé"'
Autor:
Gwenolé Quellec, Sofian Berrouiguet, Margot Morgiève, Jonathan Dubois, Marion Leboyer, Guillaume Vaiva, Jérôme Azé, Philippe Courtet
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Over 700,000 people die by suicide annually. Collecting longitudinal fine-grained data about at-risk individuals, as they occur in the real world, can enhance our understanding of the temporal dynamics of suicide risk, leading to better iden
Externí odkaz:
https://doaj.org/article/be6323e012ea4122a69b9c23ba1bf687
Autor:
Margot Morgiève, Daniel Yasri, Catherine Genty, Jonathan Dubois, Marion Leboyer, Guillaume Vaiva, Sofian Berrouiguet, Jérôme Azé, Philippe Courtet
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
BackgroundAs mHealth may contribute to suicide prevention, we developed emma, an application using Ecological Momentary Assessment and Intervention (EMA/EMI).ObjectiveThis study evaluated emma usage rate and acceptability during the first month and s
Externí odkaz:
https://doaj.org/article/6efe902590b64b27af6bc6cf96702c53
Publikováno v:
World Wide Web. 26:799-825
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.
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
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–
Autor:
Jérôme Azé, Christophe Sola, Jian Zhang, Florian Lafosse-Marin, Memona Yasmin, Rubina Siddiqui, Kristin Kremer, Dick van Soolingen, Guislaine Refrégier
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0130912 (2015)
Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen lineages. Mycobacterium tuberculosis complex taxonomy has rapidly evolved in the last 20 years through intensive clinical isolation, advances in sequ
Externí odkaz:
https://doaj.org/article/5ea71171f0174272879569a7aa65ab50