Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Hadyl Asfari"'
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Akademický článek
Semantic Queries Expedite MedDRA Terms Selection Thanks to a Dedicated User Interface: A Pilot Study on Five Medical Conditions
Autor: Julien Souvignet, Gunnar Declerck, Béatrice Trombert-Paviot, Hadyl Asfari, Marie-Christine Jaulent, Cédric Bousquet
Publikováno v: Frontiers in Pharmacology, Vol 10 (2019)
Background: Searching into the MedDRA terminology is usually limited to a hierarchical search, and/or a string search. Our objective was to compare user performances when using a new kind of user interface enabling semantic queries versus classical m
Externí odkaz: https://doaj.org/article/db6d217f6a6940a0921b1deb1e91c8b8
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2
Groupement automatisé de termes liés aux valvulopathies médicamenteuses dans MedDRA
Autor: Cédric Bousquet, Béatrice Trombert, Hadyl Asfari, Marie-Christine Jaulent, Julien Souvignet, Agnès Lillo-Le Louët
Publikováno v: Therapies. 71:541-552
Resume Objectif Proposer une methode de regroupement de termes medical dictionary for regulatory activities (MedDRA) alternative a l’approche habituelle : methode hierarchique (selection de groupements de reference dans MedDRA) et/ou methode textue
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a834977afe33b7975359ea3344ec94cf
https://doi.org/10.1016/j.therap.2016.06.003
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3
Semantic Queries Expedite MedDRA Terms Selection Thanks to a Dedicated User Interface: A Pilot Study on Five Medical Conditions
Autor: Julien, Souvignet, Gunnar, Declerck, Béatrice, Trombert-Paviot, Hadyl, Asfari, Marie-Christine, Jaulent, Cédric, Bousquet
Publikováno v: Frontiers in Pharmacology
Background: Searching into the MedDRA terminology is usually limited to a hierarchical search, and/or a string search. Our objective was to compare user performances when using a new kind of user interface enabling semantic queries versus classical m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::69dd481ece5888b4d13471d670133807
https://pubmed.ncbi.nlm.nih.gov/30792654
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4
Evaluating Twitter as a complementary data source for pharmacovigilance
Autor: Hadyl Asfari, Agnès Lillo-Le-Louët, Jérémy Lardon, Florelle Bellet, Julien Souvignet, Marie-Noëlle Beyens, Marie-Christine Jaulent, Cédric Bousquet, Rim Aboukhamis
Background: Social media are currently considered as a potential complementary source of knowledge for drug safety surveillance. Our primary objective was to estimate the frequency of adverse drug reactions (ADRs) experienced by Twitter users. Our se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355e5ac2995eb9d12838eed5508f46ae
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5
Chocs anaphylactiques d’origine médicamenteuse : sous-notification et PMSI
Autor: Fakhria Marsille, C. Guy, Cédric Bousquet, Florelle Bellet, Marie-Noëlle Beyens, Geneviève Mounier, Béatrice Trombert Paviot, Hadyl Asfari
Publikováno v: Therapies. 69:483-490
Resume Objectif Evaluer l’interet d’une recherche dans la base de donnees du programme de medicalisation des systemes d’information (PMSI) pour l’identification des cas de chocs anaphylactiques ou anaphylactoides (CA) medicamenteux. Methodes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e2cb396a0bf90ae6ed3603f3433cc2f
https://doi.org/10.2515/therapie/2014057
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6
OntoADR a Semantic Resource Describing Adverse Drug Reactions to Support Searching, Coding, and Information Retrieval
Autor: Cdric Bousquet, Gunnar Declerck, Julien Souvignet, Marie-Christine Jaulent, Hadyl Asfari
Publikováno v: Journal of Biomedical Informatics
Journal of Biomedical Informatics, Elsevier, 2016, 63, pp.100-107. ⟨10.1016/j.jbi.2016.06.010⟩
Journal of Biomedical Informatics, 2016, 63, pp.100-107. ⟨10.1016/j.jbi.2016.06.010⟩
Display Omitted OntoADR a semantic resource describing MedDRA terms is proposed.A formal definition is proposed for 67% of MedDRA preferred terms.OntoADR enables a new kind of criteria based data retrieval.Sensitivity and specificity are improved com
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ba44dc2e285b8eb7c0e43f13df3549
https://hal.sorbonne-universite.fr/hal-01358317/document
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7
Inconsistencies Between Antiparkinsonian Drugs and ICD-10 Codes in Inpatients: A TOLBIAC Project Case Study
Autor: Nizar, Triki, Cédric, Bousquet, Jeremy, Lardon, Hadyl, Asfari, Radia, Spiga, Béatrice, Trombert-Paviot
Publikováno v: Studies in health technology and informatics. 228
In France, data derived from hospital information systems are adequate to feed the prospective payment system. The consistency between drugs prescribed to patients and their indications could solve difficulties related to the identification of ICD-10
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::2d7c3af9725cfb8ec8a01ae12a9fe68c
https://pubmed.ncbi.nlm.nih.gov/27577405
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8
[Automated grouping of terms associated to cardiac valve fibrosis in MedDRA]
Autor: Hadyl, Asfari, Julien, Souvignet, Agnès, Lillo-Le Louët, Béatrice, Trombert, Marie-Christine, Jaulent, Cédric, Bousquet
Publikováno v: Therapie. 71(6)
To propose an alternative approach for building custom groupings of terms that complements the usual approach based on both hierarchical method (selection of reference groupings in medical dictionary for regulatory activities [MedDRA]) and/or textual
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::45f0af9d2adc881db874efbbe8c6f151
https://pubmed.ncbi.nlm.nih.gov/27692980
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9
MedDRA® automated term groupings using OntoADR: evaluation with upper gastrointestinal bleedings
Autor: Julien Souvignet, Cédric Bousquet, Jérémy Lardon, Gunnar Declerck, Emilie Del Tedesco, Hadyl Asfari
Publikováno v: Expert Opinion on Drug Safety
Expert Opinion on Drug Safety, Informa Healthcare, 2016, 15 (9), pp.1153-1161. ⟨10.1080/14740338.2016.1206075⟩
Expert Opinion on Drug Safety, 2016, 15 (9), pp.1153-1161. ⟨10.1080/14740338.2016.1206075⟩
International audience; Objective: To propose a method to build customized sets of MedDRA terms for the description of a medical condition. We illustrate this method with upper gastrointestinal bleedings (UGIB).Research design and methods: We created
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e555622335b401ba7c985f4a1069569d
https://hal.sorbonne-universite.fr/hal-01494025
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10
Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review
Autor: Marie-Noëlle Beyens, Hadyl Asfari, Jérémy Lardon, Nathalie Texier, Redhouane Abdellaoui, Florelle Bellet, Julien Souvignet, Marie-Christine Jaulent, Cédric Bousquet, Anita Burgun
Publikováno v: Journal of Medical Internet Research
Journal of Medical Internet Research, 2015, 17 (7), pp.e171. ⟨10.2196/jmir.4304⟩
Journal of Medical Internet Research, Vol 17, Iss 7, p e171 (2015)
Background: The underreporting of adverse drug reactions (ADRs) through traditional reporting channels is a limitation in the efficiency of the current pharmacovigilance system. Patients’ experiences with drugs that they report on social media repr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4863359fa404cc947e7cc80c2c06a4d8
http://europepmc.org/articles/PMC4526988
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