A random forest model based classification scheme for neonatal amplitude-integrated EEG

BACKGROUND: Modern medical advances have greatly increased the survival rate of infants, while they remain in the higher risk group for neurological problems later in life. For the infants with encephalopathy or seizures, identification of the extent of brain injury is clinically challenging. Contin...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Weiting, Wang, Yu, Cao, Guitao, Chen, Guoqiang, Gu, Qiufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304248/
https://www.ncbi.nlm.nih.gov/pubmed/25560269
http://dx.doi.org/10.1186/1475-925X-13-S2-S4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304248/
https://www.ncbi.nlm.nih.gov/pubmed/25560269
http://dx.doi.org/10.1186/1475-925X-13-S2-S4

Ejemplares similares