Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis.

Gabriela Gonzalez Kristina Vaculik Carine Khalil Yuliya Zektser Corey W Arnold Christopher V Almario Brennan Mason Ross Spiegel Jennifer T Anger

Published in: Journal of medical Internet research (2022)

Our large-scale social media analysis supports the importance and reproducibility of using online data to comprehend women's UTI experience. This inductive thematic analysis highlights patient behavior, self-empowerment, and online media utilization by women to address their health concerns in a safe, anonymous way.

Keyphrases

social media
health information
urinary tract infection
healthcare
polycystic ovary syndrome
public health
case report
big data
mental health
pregnant women
machine learning
metabolic syndrome
climate change
pregnancy outcomes