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 ' cancerdusein.org ' 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.
journal_name
Health Informatics Jjournal_title
Health informatics journalauthors
Tapi Nzali MD,Aze J,Bringay S,Lavergne C,Mollevi C,Optiz Tdoi
10.1177/1460458217751014subject
Has Abstractpub_date
2019-12-01 00:00:00pages
1219-1231issue
4eissn
1460-4582issn
1741-2811journal_volume
25pub_type
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