Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach

BACKGROUND: Neuroimaging studies have yielded significant advances in the understanding of neural processes relevant to the development and persistence of addiction. However, these advances have not explored extensively for diagnostic accuracy in human subjects. The aim of this study was to develop...

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Veröffentlicht in:BMC Bioinformatics
Hauptverfasser: Mete, Mutlu, Sakoglu, Unal, Spence, Jeffrey S., Devous, Michael D., Harris, Thomas S., Adinoff, Bryon
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2016
Schlagworte:
Proceedings
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5073995/
https://ncbi.nlm.nih.gov/pubmed/27766943
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1218-z
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