A new machine-learning model has been developed to distinguish cytomegalovirus infection status in hospitalized patients with systemic lupus erythematosus. This retrospective cohort study provides insights that could enhance patient management and treatment strategies.
machine learning model for distinguishing cytomegalovirus infection status in hospitalised patients with systemic lupus erythematosus a retrospective cohort study with temporal validation
Original title: “Machine-learning model for distinguishing cytomegalovirus infection status in hospitalised patients with systemic lupus erythematosus: a retrospective cohort study with temporal validation.”