Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Elisabeth, Serrot"'
Publikováno v:
Informatique et Santé ISBN: 9782817802848
Background: We report here the implementation of a medication extraction system which extracts drugs names from French clinical texts, on the basis of Natural Language Processing algorithms (NLP). Within the framework of the PSIP project, the French
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18dadf3d0a7a87da5f0bdb09dcecae33
https://doi.org/10.1007/978-2-8178-0285-5_13
https://doi.org/10.1007/978-2-8178-0285-5_13
Autor:
Jean-Baptiste, Lamy, Catherine, Duclos, Saliha, Hamek, Marie-Catherine, Beuscart-Zéphir, Gaetan, Kerdelhué, Stefan, Darmoni, Madeleine, Favre, Hector, Falcoff, Christian, Simon, Suzanne, Pereira, Elisabeth, Serrot, Thierry, Mitouard, Etienne, Hardouin, Yannick, Kergosien, Alain, Venot
Publikováno v:
Studies in health technology and informatics. 160(Pt 1)
Practicing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2aed346cd4bd8f1689992ddfa05c3832
https://pubmed.ncbi.nlm.nih.gov/20841669
https://pubmed.ncbi.nlm.nih.gov/20841669
Autor:
Béatrice, Merlin, Emmanuel, Chazard, Suzanne, Pereira, Elisabeth, Serrot, Saoussen, Sakji, Régis, Beuscart, Stefan, Darmoni
Publikováno v:
Studies in health technology and informatics. 160(Pt 2)
Adverse Drug Events (ADEs) endanger the patients. Their detection and prevention is essential to improve the patients' safety. In the absence of computerized physician order entry (CPOE), discharge summaries are the only source of information about t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f21ad85511e7ea0e55ec9110d3915f1d
https://pubmed.ncbi.nlm.nih.gov/20841839
https://pubmed.ncbi.nlm.nih.gov/20841839
Autor:
Suzanne, Pereira, Saoussen, Sakji, Aurélie, Névéol, Ivan, Kergourlay, Gaétan, Kerdelhué, Elisabeth, Serrot, Michel, Joubert, Stéfan J, Darmoni
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2009
To facilitate information retrieval in the biomedical domain, a system for the automatic assignment of Medical Subject Headings to documents curated by an online quality-controlled health gateway was implemented. The French Multi-Terminology Indexer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::45fc97fdf78fb7d5f2722dbee4e87297
https://pubmed.ncbi.nlm.nih.gov/20351910
https://pubmed.ncbi.nlm.nih.gov/20351910
Publikováno v:
Studies in health technology and informatics. 148
Adverse drug events are a public health issue (98,000 deaths in the USA every year). Some computerized physician order entry (CPOEs) coupled with clinical decision support systems (CDSS) allow to prevent ADEs thanks to decision rules. Those rules can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f8a1b6569a18a709b14ddc8b00c584aa
https://pubmed.ncbi.nlm.nih.gov/19745240
https://pubmed.ncbi.nlm.nih.gov/19745240
Autor:
Suzanne, Pereira, Blandine, Plaisantin, Michelle, Korchia, Nicolas, Rozanes, Elisabeth, Serrot, Michel, Joubert, Stéfan J, Darmoni
Publikováno v:
Studies in health technology and informatics. 150
Summary of Product Characteristics (SPC) indexing enables to extract all the information needed to analyze a prescription and find some inappropriate medications. We evaluate a French Multi-Terminology Indexer tool (F-MTI) for SPC automatic indexing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6d832137210a17ce76b831bd344a2d5f
https://pubmed.ncbi.nlm.nih.gov/19745364
https://pubmed.ncbi.nlm.nih.gov/19745364
Autor:
Philippe Massari, Michel Joubert, Suzanne Pereira, Stéfan J. Darmoni, Elisabeth Serrot, Badisse Dahamna, Antoine Buemi
Publikováno v:
Informatique et Santé ISBN: 9782287993046
Background SNOMED is becoming a major health terminology to index electronic medical records. Most of developed countries have chosen SNOMED CT. France has chosen SNOMED International which is already translated in French. We developed the F-MTI tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0defcd4ef7178a67129dd371c0d84415
https://doi.org/10.1007/978-2-287-99305-3_6
https://doi.org/10.1007/978-2-287-99305-3_6