Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches

BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographic, clinical questionnaire, environmental, neuropsy...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Jae-Won, Sharma, Vinod, Ryan, Neal D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756719/
https://www.ncbi.nlm.nih.gov/pubmed/25964505
http://dx.doi.org/10.1093/ijnp/pyv052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756719/
https://www.ncbi.nlm.nih.gov/pubmed/25964505
http://dx.doi.org/10.1093/ijnp/pyv052

Ejemplares similares