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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Transl Psychiatry
Κύριοι συγγραφείς: 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.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Nature Publishing Group UK 2019
Θέματα:
Διαθέσιμο 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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