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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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Podrobná bibliografie
Vydáno v:Transl Psychiatry
Hlavní autoři: Cearns, Micah, Opel, Nils, Clark, Scott, Kaehler, Claas, Thalamuthu, Anbupalam, Heindel, Walter, Winter, Theresa, Teismann, Henning, Minnerup, Heike, Dannlowski, Udo, Berger, Klaus, Baune, Bernhard T.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2019
Témata:
On-line přístup: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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