CrossRef Text and Data Mining
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Predicting the Outcome of Critically Ill Children and Adolescents with Electroencephalography
Sangbo Lee, Ara Ko, In Sook Sol, Kyung Won Kim, Hoon Chul Kang, Joon Soo Lee, Heung Dong Kim, Se Hee Kim
Ann Child Neurol. 2019;27(1):13-21.   Published online March 12, 2019
DOI: https://doi.org/10.26815/acn.2019.00010

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Predicting the Outcome of Critically Ill Children and Adolescents with Electroencephalography
Annals of Child Neurology. 2019;27(1):13-21   Crossref logo
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The Role of Electroencephalography in the Prognostication of Clinical Outcomes in Critically Ill Children: A Review
Children. 2022;9(9):1368   Crossref logo
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Critically ill medical patients, their demographics and outcome
Anaesthesia. 1999;54(9):845-852   Crossref logo
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Continuous Electroencephalography Monitoring in Critically Ill Infants and Children
Pediatric Neurology. 2020;108:40-46   Crossref logo
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A Potential Role for GLUT4 in Predicting Sepsis in Critically ill Children
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Outcome of Critically Ill Allogeneic Hematopoietic Stem-Cell Transplantation Recipients
Mechanical Ventilation in Critically Ill Cancer Patients. 2018;317-324   Crossref logo
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Hypoalbuminemia as a Predictor of Adverse Outcome in Critically Ill Children: A Prospective Cohort Study
. 2021;   Crossref logo
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Transfusion in critically ill children: an ongoing dilemma
Acta Anaesthesiologica Scandinavica. 2013;57(6):684-691   Crossref logo
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Continuous Video Electroencephalography (EEG) for Event Characterization in Critically Ill Children
Journal of Child Neurology. 2022;37(7):562-567   Crossref logo
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The oral health of critically ill children: an observational cohort study
Journal of Clinical Nursing. 2011;20(21-22):3070-3080   Crossref logo
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