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Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk
Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model building methods including a priori clinical knowledge (also termed clinical-learning) to preselect predictors or machine-learning methods to select predictors automatically. To date, there is no empirical r...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797779/ https://www.ncbi.nlm.nih.gov/pubmed/31624229 http://dx.doi.org/10.1038/s41398-019-0600-9 |