Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning

Many brain-based disorders are traditionally diagnosed based on clinical interviews and behavioral assessments, which are recognized to be largely imperfect. Therefore, it is necessary to establish neuroimaging-based biomarkers to improve diagnostic precision. Resting-state functional magnetic reson...

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Detalles Bibliográficos
Autores principales: Zhao, Xinyu, Rangaprakash, D., Yuan, Bowen, Denney, Thomas S., Katz, Jeffrey S., Dretsch, Michael N., Deshpande, Gopikrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214192/
https://www.ncbi.nlm.nih.gov/pubmed/30393630

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214192/
https://www.ncbi.nlm.nih.gov/pubmed/30393630

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