A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium

摘要

Objective: Knee osteoarthritis (KOA) is a heterogeneous condition representing a variety of potentially distinct phenotypes. The purpose of this study was to apply innovative machine learning approaches to KOA phenotyping in order to define progression phenotypes that are potentially more responsive to interventions.