Application of Machine Learning to Automated Analysis of Cerebral Edema in Large Cohorts of Ischemic Stroke Patients

Cerebral edema contributes to neurological deterioration and death after hemispheric stroke but there remains no effective means of preventing or accurately predicting its occurrence. Big data approaches may provide insights into the biologic variability and genetic contributions to severity and tim...

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Detalles Bibliográficos
Autores principales: Dhar, Rajat, Chen, Yasheng, An, Hongyu, Lee, Jin-Moo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110910/
https://www.ncbi.nlm.nih.gov/pubmed/30186224
http://dx.doi.org/10.3389/fneur.2018.00687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110910/
https://www.ncbi.nlm.nih.gov/pubmed/30186224
http://dx.doi.org/10.3389/fneur.2018.00687

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