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Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks

Wei‐Long Zheng, Edilberto Amorim, Jin Jing, Wendong Ge, Shenda Hong, Ona Wu, Mohammad M. Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Jimeng Sun, Marleen C. Tjepkema‐Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover

2021Resuscitation37 citationsDOIOpen Access PDF

Topics & Concepts

ElectroencephalographyMedicineComa (optics)Targeted temperature managementReceiver operating characteristicConvolutional neural networkConfidence intervalQuantitative electroencephalographyArtificial intelligenceInternal medicineAnesthesiaComputer scienceCardiopulmonary resuscitationResuscitationReturn of spontaneous circulationPsychiatryPhysicsOpticsCardiac Arrest and ResuscitationEEG and Brain-Computer InterfacesTraumatic Brain Injury Research
Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks | Litcius