Dynamic Intracranial Pressure Waveform Morphology Predicts Ventriculitis

Megjhani, M., Terilli, K., Kalasapudi, L., Chen, J., Carlson, J., Miller, S., Badjatia, N., Hu, P., Velazquez, A., Roh, D. J., Agarwal, S., Claassen, J., Connolly, E. S., Hu, X., Morris, N., & Park, S. (2021). Dynamic Intracranial Pressure Waveform Morphology Predicts Ventriculitis. Neurocritical Care, 36(2), 404–411. https://doi.org/10.1007/s12028-021-01303-3
Authors:
Murad Megjhani
Kalijah Terilli
Lakshman Kalasapudi
Justine Chen
John Carlson
Serenity Miller
Neeraj Badjatia
Peter Hu
Angela Velazquez
David J. Roh
Sachin Agarwal
Jan Claassen
E.S. Connolly
Xiao Hu
Nicholas Morris
Soojin Park
Affiliated Authors:
Murad Megjhani
Kalijah Terilli
Justine Chen
John Carlson
Angela Velazquez
David J. Roh
Sachin Agarwal
Jan Claassen
E.S. Connolly
Soojin Park
Author Keywords:
clustering
external ventricular drainage
icp waveform
machine learning
neurocritical care
ventriculitis
Publication Type:
Article
Unique ID:
10.1007/s12028-021-01303-3
PMID:
Publication Date:
Data Source:
Scopus

Record Created: