Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence

Dianbo Liu, Kathe P. Fox, Griffin M. Weber, Timothy A. Miller

Abstract: Highlights•Patients' data are horizontally separated by individual and vertically separated by type.•Confederated machine learning to model data both horizontally and vertically separated.•Real-world medical data from many locations across the country.