Prediction of Survival After Pediatric Cardiac Arrest Using Quantitative EEG and Machine Learning Techniques
Both qEEG and visual EEG background classification for registrations obtained 24 hours after ROC form a strong predictor of nonsurvival 12 months after CA in children.
Authors
- Robert van den Berg (ORCID: https://orcid.org/0000-0003-4806-3599)
- Murielle Verboom (ORCID: https://orcid.org/0000-0001-8260-2045)
- Geurt Jongbloed (ORCID: https://orcid.org/0000-0003-4708-5868)
- Dirk C.G. Straver (ORCID: https://orcid.org/0000-0003-3694-9843)
- Maayke Hunfeld (ORCID: https://orcid.org/0000-0001-8332-1632)
- Corinne Buysse
- Sabine Josemans
- Annemiek van Ravensberg
- Femke Lückerath
Institutions
- Erasmus MC (NL)
Publication Details
- Journal
- Neurology
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1212/wnl.0000000000210043
- Citations
- 13
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 8.98