Assessment of Genetic and Nongenetic Interactions for the Prediction of Depressive Symptomatology: An Analysis of the Wisconsin Longitudinal Study Using Machine Learning Algorithms

Objectives. We examined depression within a multidimensional framework consisting of genetic, environmental, and sociobehavioral factors and, using machine learning algorithms, explored interactions among these factors that might better explain the etiology of depressive symptoms. Methods. We measur...

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Detalhes bibliográficos
Main Authors: Roetker, Nicholas S., Page, C. David, Yonker, James A., Chang, Vicky, Roan, Carol L., Herd, Pamela, Hauser, Taissa S., Hauser, Robert M., Atwood, Craig S.
Formato: Artigo
Idioma:Inglês
Publicado em: American Public Health Association 2013
Assuntos:
Research and Practice
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3786749/
https://ncbi.nlm.nih.gov/pubmed/23927508
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2105/AJPH.2012.301141
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