Skip to Main content Skip to Navigation
Journal articles

Reconciliation of patient/doctor vocabulary in a structured resource

Abstract : Today, social media is increasingly used by patients to openly discuss their health. Mining automatically such data is a challenging task because of the non-structured nature of the text and the use of many abbreviations and the slang terms. Our goal is to use Patient Authored Text to build a French Consumer Health Vocabulary on breast cancer field, by collecting various kinds of non-experts' expressions that are related to their diseases and then compare them to biomedical terms used by health care professionals. We combine several methods of the literature based on linguistic and statistical approaches to extract candidate terms used by non-experts and to link them to expert terms. We use messages extracted from the forum on '' and a vocabulary dedicated to breast cancer elaborated by the Institut National Du Cancer. We have built an efficient vocabulary composed of 192 validated relationships and formalized in Simple Knowledge Organization System ontology.
Document type :
Journal articles
Complete list of metadata

Cited literature [56 references]  Display  Hide  Download
Contributor : Sandra Bringay <>
Submitted on : Monday, April 1, 2019 - 5:19:38 PM
Last modification on : Thursday, January 7, 2021 - 2:34:12 PM
Long-term archiving on: : Tuesday, July 2, 2019 - 12:21:22 PM


Publisher files allowed on an open archive



Mike Donald Tapi Nzali, Jérôme Azé, Sandra Bringay, Christian Lavergne, Caroline Mollevi, et al.. Reconciliation of patient/doctor vocabulary in a structured resource. Health Informatics Journal, SAGE Publications, 2019, 25, pp.1219-1231. ⟨10.1177/1460458217751014⟩. ⟨hal-01810374⟩



Record views


Files downloads