Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example

Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large interindividual differences. Typically, the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multidisciplinary team with extensive experience. Whi...

Descripción completa

Detalles Bibliográficos
Autores principales: Kassraian-Fard, Pegah, Matthis, Caroline, Balsters, Joshua H., Maathuis, Marloes H., Wenderoth, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133050/
https://www.ncbi.nlm.nih.gov/pubmed/27990125
http://dx.doi.org/10.3389/fpsyt.2016.00177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133050/
https://www.ncbi.nlm.nih.gov/pubmed/27990125
http://dx.doi.org/10.3389/fpsyt.2016.00177

Ejemplares similares