Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lejeune, Emeline"'
Autor:
Dynomant, Emeric, Darmoni, Stéfan J., Lejeune, Émeline, Kerdelhué, Gaëtan, Leroy, Jean-Philippe, Lequertier, Vincent, Canu, Stéphane, Grosjean, Julien
PubMed is the biggest and most used bibliographic database worldwide, hosting more than 26M biomedical publications. One of its useful features is the "similar articles" section, allowing the end-user to find scientific articles linked to the consult
Externí odkaz:
http://arxiv.org/abs/1911.11698
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kerdelhué, Gaétan, Grosjean, Julien, Lejeune, Emeline, Letord, Catherine, Darmoni, Stéfan, Oviève, Jean-Marc, Martin, Laurélyne, Gedda, Michel
Publikováno v:
In Kinésithérapie, la revue July 2020 20(223):3-5
Autor:
DARMONI, Stéfan, BENIS, Arriel, LEJEUNE, Emeline, DISSON, Flavien, DAHAMNA, Badisse, WEBER, Patrick, STACCINI, Pascal, GROSJEAN, Julien
Publikováno v:
Studies in Health Technology & Informatics; 2022, Vol. 298, p19-23, 5p, 2 Diagrams
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IMIA Yearbook of Medical Informatics
IMIA Yearbook of Medical Informatics, 2022, 31 (1), pp.236-240. ⟨10.1055/s-0042-1742523⟩
IMIA Yearbook of Medical Informatics, 2022, 31 (1), pp.236-240. ⟨10.1055/s-0042-1742523⟩
Objectives: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2021. Methods: Following the International Medical Informatics Association (IMIA) Yearbook guidelines, a comprehe
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, 2022, 10 (12), pp.e42379. ⟨10.2196/42379⟩
JMIR Medical Informatics, 2022, 10 (12), pp.e42379. ⟨10.2196/42379⟩
Background Reliable and interpretable automatic extraction of clinical phenotypes from large electronic medical record databases remains a challenge, especially in a language other than English. Objective We aimed to provide an automated end-to-end e
Autor:
Thibaut Pressat Laffouilhère, Julien Grosjean, Jacques Bénichou, Stefan J. Darmoni, Lina F. Soualmia
Publikováno v:
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 294, pp.302-306. ⟨10.3233/SHTI220463⟩
Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 294, pp.302-306. ⟨10.3233/SHTI220463⟩
International audience; Suitable causal inference in biostatistics can be best achieved by knowledge representation thanks to causal diagrams or directed acyclic graphs. However, necessary and sufficient causes are not easily represented. Since exist
Are People Ready to Report Digital Health Ethical Issues in Order to Contribute to Their Resolution?
Although guaranteed by the GDPR, transparency of health data processing may not be fully respected, leading citizens to mistrust eHealth and discard digital health services. Identifying and safeguarding ethics in eHealth services is thus important to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d4ee0db05cc240f81d837eda80cab75
https://doi.org/10.3233/shti220579
https://doi.org/10.3233/shti220579
Autor:
Thierry Lequerré, Stéphane Dominique, Julien Grosjean, Tiffany Deroualle, Francesco Monti, Olivier Vittecoq, Stéfan Jacques Darmoni
Publikováno v:
Joint Bone Spine
Joint Bone Spine, 2021, 88 (6), pp.105247. ⟨10.1016/j.jbspin.2021.105247⟩
Joint Bone Spine, 2021, 88 (6), pp.105247. ⟨10.1016/j.jbspin.2021.105247⟩
International audience; An association between sarcoidosis and spondyloarthritis (SpA) has already been reported. The prevalence of sacroiliitis in sarcoidosis was estimated between 6.6% and 23.4%. All patients with sacroiliitis were diagnosed with S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115603f6d24ef95d4f3c9883a1b07363
https://hal.science/hal-03985695
https://hal.science/hal-03985695