Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

Highlights•Quantitative social media listening (QSML) is an emerging tool for observational
studies.•QSML can leverage advances in AI and RWD analysis to produce new patient …

Patients' increasing digital participation provides an opportunity to pursue patient-centric
research and drug development by understanding their needs. Social media has proven to …

Every day, an enormous amount of text data is produced. Sources of text data include news,
social media, emails, text messages, medical reports, scientific publications and fiction. To …

Background Medication noncompliance is a critical issue because of the increased number
of drugs sold on the web. Web-based drug distribution is difficult to control, causing …

Mining user-generated data often suffers from the lack of enough labeled data, short
document lengths, and the informal user language. In this paper, we propose a novel active …

Physicians' beliefs and attitudes about COVID-19 are important to ascertain because of their
central role in providing care to patients during the pandemic. Identifying topics and …

There is a lack of quantitative measures to evaluate the progression of topics through time in
dynamic topic models (DTMs). Filling this gap, we propose a novel evaluation measure for …

Our goal is to summarise and aggregate information from social media regarding the
symptoms of a disease, the drugs used and the treatment effects both positive and negative …

Contexte: La réutilisation des données de santé, au-delà de leur usage initial, permet
d'améliorer la prise en charge des patients, de faciliter la recherche et d'optimiser le pilotage …