Pos1560 using Survival Classification and Regression Trees and Survival Random Forest to Investigate Associations Among Factors for Cancer Progression and Arthritis Control in a Multi-Center Retrospective Cohort of Patients With Immune Checkpoint Inhibitor Associated Inflammatory Arthritis
Abstract:BackgroundIt is unknown whether particular presentations of immune checkpoint inhibitor-associated inflammatory arthritis (ICI-IA) are associated with better cancer responses or faster time to arthritis control. Machine learning methods have the ability to determine important factors in datasets where there are often many variables.ObjectivesTo identify variables associated with arthritis control and cancer progression among persons with ICI-IA.MethodsThis study is ancillary to a retrospective observational st… Show more
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