A data-driven pipeline to extract potential side effects through co-prescription analysis: application to a cohort study of 2,010 patients taking hydroxychloroquine with an 11-year follow-up

ContextReal-life data consist of exhaustive and unbiased data to study drug-safety profiles but are underused because of their complex temporality (i.e., safety depends on the dose, timing, and duration of treatment) and the considerable number of potential side effects to study. We aimed to create a pipeline that manages the... Show more