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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848135/
https://www.ncbi.nlm.nih.gov/pubmed/31712550
http://dx.doi.org/10.1038/s41398-019-0615-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848135/
https://www.ncbi.nlm.nih.gov/pubmed/31712550
http://dx.doi.org/10.1038/s41398-019-0615-2

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