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Machine learning enhances prediction of illness course: a longitudinal study in eating disorders
BACKGROUND. Psychiatric disorders, including eating disorders (EDs), have clinical outcomes that range widely in severity and chronicity. The ability to predict such outcomes is extremely limited. Machine-learning (ML) approaches that model complexity may optimize the prediction of multifaceted psyc...
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| Publicado no: | Psychol Med |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7483262/ https://ncbi.nlm.nih.gov/pubmed/32108564 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S0033291720000227 |
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