Vector Angle Analysis of Multimodal Neuromonitoring Data for Continuous Prediction of Delayed Cerebral Ischemia

Megjhani, M., Weiss, M., Kwon, S. B., Ford, J., Nametz, D., Kastenholz, N., Fogel, H., Velazquez, A., Roh, D., Agarwal, S., Connolly, E. S., Claassen, J., Schubert, G. A., & Park, S. (2022). Vector Angle Analysis of Multimodal Neuromonitoring Data for Continuous Prediction of Delayed Cerebral Ischemia. Neurocritical Care, 37(S2), 230–236. https://doi.org/10.1007/s12028-022-01481-8
Authors:
Murad Megjhani
Miriam Weiss
Soon Bin Kwon
Jenna Ford
Daniel Nametz
Nick Kastenholz
Hart Fogel
Angela Velazquez
David Roh
Sachin Agarwal
E. Sander Connolly
Jan Claassen
Gerrit A. Schubert
Soojin Park
Affiliated Authors:
Murad Megjhani
Soon Bin Kwon
Jenna Ford
Daniel Nametz
Nick Kastenholz
Hart Fogel
Angela Velazquez
David Roh
Sachin Agarwal
E. Sander Connolly
Jan Claassen
Soojin Park
Subjects:
Author Keywords:
neurocritical care
aneurysmal subarachnoid hemorrhage
cerebral autoregulation
classification
machine learning
Publication Type:
Article
Unique ID:
10.1007/s12028-022-01481-8
PMID:
Publication Date:
Data Source:
Scopus

Record Created: