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Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach
Machine learning methods show promise to translate univariate biomarker findings into clinically useful multivariate decision support systems. At current, works in major depressive disorder have predominantly focused on neuroimaging and clinical predictor modalities, with genetic, blood-biomarker, a...
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| Pubblicato in: | Transl Psychiatry |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6848135/ https://ncbi.nlm.nih.gov/pubmed/31712550 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41398-019-0615-2 |
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