A Distributed Learning Framework for Integrating Evidence in Clinical Research Networks
Rare events such as gastrointestinal bleeding, clinical sites independently often contain insufficient number of cases leading to challenges in characterizing the effect sizes of risk factors for adverse events and conducting accurate risk prediction. Individual patient-level information at each site is often protected by privacy regularities and rules, and direct data integration across multiple clinical […]