Résumé En France, le législateur a souhaité en 1999 que les régimes d'Assurance Maladie
développent un système national d'information interrégimes de l'Assurance Maladie …

The potential for big data analytics to improve cardiovascular quality of care and patient
outcomes is tremendous. However, the application of big data in health care is at a nascent …

The French health care system is based on universal coverage by one of several health care
insurance plans. The SNIIRAM database merges anonymous information of reimbursed …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Importance The rising threat of antibiotic resistance and other adverse consequences
resulting from the misuse of antibiotics requires a better understanding of antibiotic use in …

Accurate prediction of suicide risk among children and adolescents within an actionable
time frame is an important but challenging task. Very few studies have comprehensively …

Aims Cohorts of millions of people's health records, whole genome sequencing, imaging,
sensor, societal and publicly available data present a rapidly expanding digital trace of …

Background: There is an urgent need for the development of global analytic frameworks that
can perform analyses in a privacy-preserving federated environment across multiple …

Background International postlicensure studies have identified an increased risk of
intussusception after vaccination with the second-generation rotavirus vaccines RotaTeq …

Objective Traditionally, patient groups with a phenotype are selected through rule-based
definitions whose creation and validation are time-consuming. Machine learning …