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 ' 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 J

authors

Tapi Nzali MD,Aze J,Bringay S,Lavergne C,Mollevi C,Optiz T

doi

10.1177/1460458217751014

subject

Has Abstract

pub_date

2019-12-01 00:00:00

pages

1219-1231

issue

4

eissn

1460-4582

issn

1741-2811

journal_volume

25

pub_type

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