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Paper Details

Predicting neurological recovery with Canonical Autocorrelation Embeddings.
PLoS One
3
2019
cardiac arrest, comatose, patients
Adult, Aged, Algorithms, Cardiopulmonary Resuscitation, Coma, Decision Support Systems, Clinical, Electroencephalography, Female, Heart Arrest, Humans, Male, Middle Aged, Models, Neurological, Multivariate Analysis, Prognosis, Recovery of Function, Survival Analysis
Author NameAffiliation
Maria De-ArteagaCarnegie Mellon University
Maria De-ArteagaHeinz College, Carnegie Mellon University
Maria De-ArteagaCarnegie Mellon University
Jieshi ChenCarnegie Mellon University
Peter HugginsCarnegie Mellon University
Jonathan ElmerUniversity of Pittsburgh School of Medicine
Jonathan ElmerUniversity of Pittsburgh School of Medicine
G ClermontUniversity of Pittsburgh School of Medicine
Artur DubrawskiCarnegie Mellon University
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