Machine learning methods to predict child posttraumatic stress: a proof of concept study

BACKGROUND: The care of traumatized children would benefit significantly from accurate predictive models for Posttraumatic Stress Disorder (PTSD), using information available around the time of trauma. Machine Learning (ML) computational methods have yielded strong results in recent applications acr...

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Detalles Bibliográficos
Autores principales: Saxe, Glenn N., Ma, Sisi, Ren, Jiwen, Aliferis, Constantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502325/
https://www.ncbi.nlm.nih.gov/pubmed/28689495
http://dx.doi.org/10.1186/s12888-017-1384-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502325/
https://www.ncbi.nlm.nih.gov/pubmed/28689495
http://dx.doi.org/10.1186/s12888-017-1384-1

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