Using mixture cure models to address algorithmic bias in diagnostic timing: autism as a test case
{{output}}
Objectives: To address algorithmic bias in clinical prediction models related to the timing of diagnosis, we evaluated the efficacy of mixture cure models that integrate time-to-event and binary classification frameworks to predi... ...
