A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis.

Our findings underscore the effectiveness of the developed conditional multi-label model for early prediction of an autism diagnosis. The study introduces a versatile strategy applicable to prediction tasks involving limited target populations but sharing underlying features or etiology among related groups.