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Predicting one-year outcome in first episode psychosis using machine learning
BACKGROUND: Early illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study objective is to use routinely collected baseline demogra...
Tallennettuna:
| Julkaisussa: | PLoS One |
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| Päätekijät: | , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6405084/ https://ncbi.nlm.nih.gov/pubmed/30845268 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0212846 |
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