Social media data have been increasingly used to study biomedical and health-related
phenomena. From cohort-level discussions of a condition to population-level analyses of …

Despite the publicity regarding big data and analytics (BDA), the success rate of these
projects and strategic value created from them are unclear. Most literature on BDA focuses …

The ever-increasing supply of information combined with the growing knowledge elicitation
capabilities of key emerging technologies presents pharmacovigilance with enormous …

The remarkable upsurge of social media has dramatic impacts on health care research and
practice. Social media are resha** health information management in a variety of ways …

The word2vec model consists of more useful applications in different NLP tasks. The
semantic meaning given by word2vec for each word in vector representations has served …

We alert readers to the value of using unsolicited online data in drug policy research by
highlighting web-based content relevant to drug policy generated by distinct types of actor …

Objective: Artificial intelligence (AI) provides people and professionals working in the field of
participatory health informatics an opportunity to derive robust insights from a variety of …

Although vivid memories of drug experiences are prevalent within clinical contexts and
addiction folklore (“chasing the first high”), little is known about the relevance of cognitive …

Introduction: Social media mining could be a possible strategy to retrieve drug safety
information. The mining of social media is a complex process under progressive evolution …

The main goal of this book is to provide an understanding of the theory, implementation, and
evaluation of information retrieval (IR) systems in biomedicine and health. There is already a …