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Papers of the Week


Papers: 20 May 2023 - 26 May 2023

RESEARCH TYPE:
Methodology, Translational


Human Studies

PAIN TYPE:
Abdominal/Pelvic Pain, Inflammation/Inflammatory


2023


Digit Health


37228486


9

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

Authors

Fruchart M, El Idrissi F, Lamer A, Belarbi K, Lemdani M, Zitouni D, Guinhouya BC

Abstract

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.