FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection

Natural language processing (NLP) applications such as named entity recognition (NER) for low-resource corpora do not benefit from recent advances in the development of large language models (LLMs) where there is still a need for larger annotated datasets. This research article introduces a methodology for generating translated versions of annotated datasets through crosslingual annotation projection. Leveraging a language agnostic BERT-based approach, it is an efficient solution to increase low-resource corpora with few human efforts and by only using already available open data resources. Quantitative and qualitative evaluations are often lacking when it comes to evaluating the quality and effectiveness of semi-automatic data generation strategies. The evaluation of our crosslingual annotation projection approach showed both effectiveness and high accuracy in the resulting dataset. As a practical application of this methodology, we present the creation of French Annotated Resource with Semantic Information for Medical Entities Detection (FRASIMED), an annotated corpus comprising 2'051 synthetic clinical cases in French. The corpus is now available for researchers and practitioners to develop and refine French natural language processing (NLP) applications in the clinical field (https://zenodo.org/record/8355629), making it the largest open annotated corpus with linked medical concepts in French

Applying the FAIR4Health Solution to Identify Multimorbidity Patterns and Their Association with Mortality through a Frequent Pattern Growth Association Algorithm

This article belongs to the Special Issue Addressing the Growing Burden of Chronic Diseases and Multimorbidity: Characterization and InterventionsThe current availability of electronic health records represents an excellent research opportunity on multimorbidity, one of the most relevant public health problems nowadays. However, it also poses a methodological challenge due to the current lack of tools to access, harmonize and reuse research datasets. In FAIR4Health, a European Horizon 2020 project, a workflow to implement the FAIR (findability, accessibility, interoperability and reusability) principles on health datasets was developed, as well as two tools aimed at facilitating the transformation of raw datasets into FAIR ones and the preservation of data privacy. As part of this project, we conducted a multicentric retrospective observational study to apply the aforementioned FAIR implementation workflow and tools to five European health datasets for research on multimorbidity. We applied a federated frequent pattern growth association algorithm to identify the most frequent combinations of chronic diseases and their association with mortality risk. We identified several multimorbidity patterns clinically plausible and consistent with the bibliography, some of which were strongly associated with mortality. Our results show the usefulness of the solution developed in FAIR4Health to overcome the difficulties in data management and highlight the importance of implementing a FAIR data policy to accelerate responsible health research.This study was performed in the framework of FAIR4Health, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 824666. Also, this research has been co-supported by the Carlos III National Institute of Health, through the IMPaCT Data project (code IMP/00019), and through the Platform for Dynamization and Innovation of the Spanish National Health System industrial capacities and their effective transfer to the productive sector (code PT20/00088), both co-funded by European Regional Development Fund (FEDER) ‘A way of making Europe’, and by REDISSEC (RD16/0001/0005) and RICAPPS (RD21/0016/0019) from Carlos III National Institute of Health. This work was also supported by Instituto de Investigación Sanitaria Aragón and Carlos III National Institute of Health [Río Hortega Program, grant number CM19/00164].Peer reviewe

FAIR4Health: Findable, Accessible, Interoperable and Reusable data to foster Health Research

Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the publicly funded health research initiatives to make them Findable, Accessible, Interoperable, and Reusable (FAIR). To confirm the feasibility of the FAIR4Health solution, we performed two pathfinder case studies to carry out federated machine learning algorithms on FAIRified datasets from five health research organizations. The case studies demonstrated the potential impact of the developed FAIR4Health solution on health outcomes and social care research. Finally, we promoted the FAIRified data to share and reuse in the European Union Health Research community, defining an effective EU-wide strategy for the use of FAIR principles in health research and preparing the ground for a roadmap for health research institutions. This scientific report presents a general overview of the FAIR4Health solution: from the FAIRification workflow design to translate raw data/metadata to FAIR data/metadata in the health research domain to the FAIR4Health demonstrators' performance.This research was financially supported by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 824666 (project FAIR4Health). Also, this research has been co-supported by the Carlos III National Institute of Health, through the IMPaCT Data project (code IMP/00019), and through the Platform for Dynamization and Innovation of the Spanish National Health System industrial capacities and their effective transfer to the productive sector (code PT20/00088), both co-funded by European Regional Development Fund (FEDER) ‘A way of making Europe’.Peer reviewe

Les livres animés et leur potentiel pour l’apprentissage : analyse d’un média physique au moyen d’un corpus et d’une conception

Ce mémoire porte sur les livres animés physiques et leur potentiel pour l’apprentissage. Les livres animés physiques sont des livres qui permettent au lecteur de créer du sens en les manipulant physiquement. Le mémoire propose donc une analyse des livres animés au moyen de trois axes de réflexion que sont le tangible, l’animation et la 3D. Ces axes sont abordés au niveau de la technologie actuelle pour ensuite être analysés au moyen d’un corpus de cinquante livres animés qui proposent différents mécanismes et fonctionnalités. Finalement, l’analyse se termine par une proposition de conception d’un livre animé pédagogique sur le cinéma qui servira à montrer qu’il est possible d’appliquer une démarche d’ingénierie pédagogique pour concevoir un livre animé tout en tirant profit des trois axes de réflexion de ce média

Vésicules extracellulaires et microscopie électronique : un duo indissociable !

National audienc

Prise en charge immédiate et post-immédiate des psychotraumatismes en médecine

La prise en charge des psychotraumatismes est récente, bien que les premières prescriptions datent de l'antiquité. C'est la psychiatrie militaire qui va permettre un développement de cette prise en charge avec la notion de psychiatrie de l'avant. Le psychotraumatisme a pour conséquences l'effroi, une réaction péritraumatique incluant la dissociation et la détresse péritraumatique, et un trouble de stress aigu qui aboutissent à un état de stress post-traumatique (ESPT), voire à une névrose traumatique. La prévalence d'ESPT est de 7,8 % dans la population générale, ce taux allant jusqu'à 11 % chez les personnels du SAMU de Paris. Sur le plan physiopathologique, une hyperactivité noradrénergique centrale a été mise en evidence, ainsi que des troubles de l'axe corticotrope. La prise en charge immédiate par les services d'urgence des victimes directes et indirectes de psychotraumatismes repose sur l'accueil et l'interlocution, qui ont pour but d'éviter une évolution vers un ESPT. Si un traitement pharmacologique est nécessaire, l'hydroxyzine et le propanolol sont les deux molécules les plus usitées actuellement. Lors d'une catastrophe macrosociale, les services d'urgences travaillent en collaboration avec les cellules d'urgence médico-psychologique (CUMP) pour la prise en charge des psychotraumatismes, notamment pour instaurer un "defusing" dans l'immédiat. Une prise en charge post-immédiate est entreprise, il s'agit du "debriefing", technique permettant aux victimes de décrire, réfléchir et tirer des enseignements de leur vécu. Lors d'une catastrophe microsociale, il existe une grande variabilité dans les prises en charge, justifiant le recours à une formation de tous les acteurs de l'urgence. Les intervenants de l'urgence peuvent être des victimes indirectes des psychotraumatismes, avec possible apparition d'un "burn-out". Il convient de leur proposer une formation, ainsi qu'une prise en charge psychologique adaptée s'ils en ressentent le besoin.LIMOGES-BU Médecine pharmacie (870852108) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

Armorial genevois : essai historique sur les armoiries, les sceaux, les bannières et les monnaies de Genève, depuis l'époque la plus ancienne jusqu'à nos jours

J.-D. BlavignacExlibrisstempel: "Eidgenössische Zentralbibliothek" 010606557_0001 Exemplar der ETH-BIB, Rar 2739

Geneva University Hospitals Common Problem List

Abstract**************************************** This work is licensed under CC BY-SA 4.0 **************************************** LPH - Problem list Version: 20220401 This archive contains the problem list developed by the Division of Medical Information Sciences (SIMED) of the Geneva University Hospitals (HUG). This list has been manually developed and encoded in various international standards. Any use of this work has to be in the limitations of the CC BY-SA 4.0 licence. Citing this work: To cite this work in a publication, please cite the following article: Gaudet-Blavignac C, Rudaz A, Lovis C Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study JMIR Med Inform 2021;9(10):e29174 URL: https://medinform.jmir.org/2021/10/e29174 DOI: 10.2196/2917