Identification of early symptoms of endometriosis through the analysis of online social networks: A social media study.

ABSTRACT:

Objective

Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient's experience. This study aimed at applying a text-mining approach to online social networks in order to identify early signs associated with endometriosis.

Methods

An automated exploration technique of online forums was performed to extract posts. After a cleaning step of the built corpus, we retrieved all symptoms evoked by women, and connected them to the MedDRA dictionary. Then, temporal markers allowed targeting only the earliest symptoms. The latter were those evoked

SUBMITTER: Fruchart M 

PROVIDER: S-EPMC10204053 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature