Prediction of eating disorder treatment response trajectories via machine learning does not improve performance versus a simpler regression approach.

Prediction of ED treatment response trajectories is feasible and achieves excellent performance, however, machine learning added little benefit. We discuss the need to explore how advance knowledge of expected trajectories may be used to plan treatment and deliver individualized interventions to maximize treatment effects.