Multimodal neuroimaging-based prediction of adult outcomes in childhood-onset ADHD using ensemble learning techniques

Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelopmental disorder, which is diagnosed using subjective symptom reports. Machine learning classifiers have been utilized to assist in the development of neuroimaging-based biomarkers for objective diagno...

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Detalles Bibliográficos
Autores principales: Luo, Yuyang, Alvarez, Tara L., Halperin, Jeffrey M., Li, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076568/
https://www.ncbi.nlm.nih.gov/pubmed/32182578
http://dx.doi.org/10.1016/j.nicl.2020.102238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076568/
https://www.ncbi.nlm.nih.gov/pubmed/32182578
http://dx.doi.org/10.1016/j.nicl.2020.102238

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