MuEVo, a breast cancer Consumer Health Vocabulary built out of web forums

التفاصيل البيبلوغرافية
العنوان: MuEVo, a breast cancer Consumer Health Vocabulary built out of web forums
المؤلفون: Eholié, Solène, Tapi Nzali, Mike Donald, Bringay, Sandra, Jonquet, Clement
المساهمون: ADVanced Analytics for data SciencE (ADVANSE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UPVM), Système Multi-agent, Interaction, Langage, Evolution (SMILE), A. Paschke, A. Burger, A. Splendiani, M.S. Marshall, P. Romano, ANR-12-JS02-0010,SIFR,Indexation sémantique de ressources biomédicales francophones(2012), European Project: 701771,H2020,H2020-MSCA-IF-2015,SIFRm(2016)
المصدر: 9th International Semantic Web Applications and Tools for Life Sciences
SWAT4LS: Semantic Web Applications and Tools for Life Sciences
https://hal.science/hal-01398253
SWAT4LS: Semantic Web Applications and Tools for Life Sciences, 2016, Amsterdam, Netherlands
بيانات النشر: CCSD
سنة النشر: 2016
مصطلحات موضوعية: Semantic Web, Biomedical Ontologies, Standard Terminologies, Consumer Health Vocabulary, SKOS, Web Forums, Breast Cancer, BioPortal, [INFO]Computer Science [cs]
جغرافية الموضوع: Amsterdam, Netherlands
الوصف: International audience ; Semantically analyze patient-generated text from a biomedical perspective is challenging because of the vocabulary gap between patients and health professionals. The medical expertise and vocabulary is well formalized in standards terminologies and ontologies, which enable semantic analysis of expert-generated text; however resources which formalize the vocabulary of health consumers (patients and their family, laypersons in general) remain scarce. The situation is even worse if one is interested in another language than English. In previous studies, we attempted to produce a French preliminary Consumer Health Vocabulary (CHV) by mining the language used within online public forums & Facebook groups about breast cancer. In this work, we show our effort to concretely align the vocabulary produced to standard terminologies and to represent its content (terms & mappings) using semantic web languages such as RDF and SKOS. We used a sample of 173 relations built around 64 expert concepts which have been automatically (89%) or manually (11%) aligned to standard biomedical terminologies, in our case: MeSH, MedDRA and SNOMEDint. The resulting vocabulary, called MuEVo (Multi-Expertise Vocabulary) and the mappings are publicly available in the SIFR BioPortal French biomedical ontology repository.
نوع الوثيقة: conference object
اللغة: English
Relation: info:eu-repo/grantAgreement//701771/EU/Semantic Indexing of French Biomedical Data Resources - mobility/SIFRm
الاتاحة: https://hal.science/hal-01398253
https://hal.science/hal-01398253v1/document
https://hal.science/hal-01398253v1/file/Article-SWAT4LS-2016_MUEVO.pdf
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.712CC0ED
قاعدة البيانات: BASE