Zobrazeno 1 - 10
of 123
pro vyhledávání: '"DAHAMNA, Badisse"'
Autor:
Griffon, Nicolas, Schuers, Matthieu, Soualmia, Lina Fatima, Grosjean, Julien, Kerdelhué, Gaétan, Kergourlay, Ivan, Dahamna, Badisse, Darmoni, Stéfan Jacques
Publikováno v:
Journal of Medical Internet Research, Vol 16, Iss 12, p e271 (2014)
BackgroundPubMed contains numerous articles in languages other than English. However, existing solutions to access these articles in the language in which they were written remain unconvincing. ObjectiveThe aim of this study was to propose a practic
Externí odkaz:
https://doaj.org/article/c2107a3603b742849d608dc79e08e652
Autor:
Léguillon, Romain, Gosselin, Laura, Carnoy, Christophe, Pressat-Laffouilhere, Thibaut, Letord, Catherine, Dahamna, Badisse, Darmoni, Stéfan J., Grosjean, Julien
Publikováno v:
In Journal of Biomedical Informatics April 2023 140
Autor:
Gosselin, Laura, Letord, Catherine, Leguillon, Romain, Soualmia, Lina F., Dahamna, Badisse, Mouazer, Abdelmalek, Disson, Flavien, Darmoni, Stéfan J., Grosjean, Julien
Publikováno v:
In International Journal of Medical Informatics February 2023 170
Akademický článek
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Publikováno v:
In La Presse Medicale 2009 38(10):1443-1450
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
Autor:
LELONG, Romain, DAHAMNA, Badisse, BERTHELOT, Hélène, DUVILLE, Willy, LETORD, Catherine, GROSJEAN, Julien, DUCLOS, Catherine
Publikováno v:
Studies in Health Technology & Informatics; 2022, Vol. 294, p38-42, 5p, 1 Chart
Autor:
Dynomant, Emeric, Lelong, Romain, Dahamna, Badisse, Massonnaud, Clément, Kerdelhué, Gaetan, Grosjean, Julien, Canu, Stéphane, Darmoni, Stéfan
Publikováno v:
MEDINFO 2019: Health and Wellbeing e-Networks for All
MEDINFO 2019: Health and Wellbeing e-Networks for All, Aug 2019, lyon, France. pp.118-122, ⟨10.3233/SHTI190195⟩
MEDINFO 2019: Health and Wellbeing e-Networks for All, Aug 2019, lyon, France. pp.118-122, ⟨10.3233/SHTI190195⟩
International audience; Structuring raw medical documents with ontology mapping is now the next step for medical intelligence. Deep learning models take as input mathematically embedded information, such as encoded texts. To do so, word embedding met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::fe65217710567b14e0575b009e46370c
https://hal.archives-ouvertes.fr/hal-02409087
https://hal.archives-ouvertes.fr/hal-02409087
Autor:
LELONG, Romain, DAHAMNA, Badisse, LEGUILLON, Romain, GROSJEAN, Julien, LETORD, Catherine, DARMONI, Stéfan J., SOUALMIA, Lina F.
Publikováno v:
Studies in Health Technology & Informatics; 2022, Vol. 289, p260-263, 4p, 1 Diagram, 1 Chart
Autor:
Ndangang, Marie, Grosjean, Julien, Lelong, Romain, Dahamna, Badisse, Kergourlay, Ivan, Griffon, Nicolas, Darmoni, Stefan
Publikováno v:
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics, IOS Press, 2018, 255, pp.20-24
Studies in Health Technology and Informatics, IOS Press, 2018, 255, pp.20-24
Unstructured health documents (e.g. discharge summaries) represent an important and unavoidable source of information.A semantic annotator identified all the concepts present in the health documents from the clinical data warehouse of the Rouen Unive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::1be260d4d2515c8469b78e6740189afa
https://pubmed.ncbi.nlm.nih.gov/30306899
https://pubmed.ncbi.nlm.nih.gov/30306899