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

OBJECTIVE: Patterns of response to eating disorder (ED) treatment are heterogeneous. Advance knowledge of a patient’s expected course may inform precision medicine for ED treatment. This study explored the feasibility of applying machine learning to generate personalized predictions of symptom traje...

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Veröffentlicht in:Int J Eat Disord
Hauptverfasser: Espel-Huynh, Hallie, Zhang, Fengqing, Thomas, J. Graham, Boswell, James F., Thompson-Brenner, Heather, Juarascio, Adrienne S., Lowe, Michael R.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2021
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8273095/
https://ncbi.nlm.nih.gov/pubmed/33811362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/eat.23510
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