Incorporating High-Frequency Physiologic Data Using Computational Dictionary Learning Improves Prediction of Delayed Cerebral Ischemia Compared to Existing Methods

PURPOSE: Accurate prediction of delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH) can be critical for planning interventions to prevent poor neurological outcome. This paper presents a model using convolution dictionary learning to extract features from physiological data available...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Front Neurol
Main Authors: Megjhani, Murad, Terilli, Kalijah, Frey, Hans-Peter, Velazquez, Angela G., Doyle, Kevin William, Connolly, Edward Sander, Roh, David Jinou, Agarwal, Sachin, Claassen, Jan, Elhadad, Noemie, Park, Soojin
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5845900/
https://ncbi.nlm.nih.gov/pubmed/29563892
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2018.00122
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados