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Admissions of Children and Adolescents With Deliberate Self-harm to Intensive Care During the SARS-CoV-2 Outbreak in Australia.
JAMA Netw Open. 2022 May 2;5(5):e2211692. doi: 10.1001/jamanetworkopen.2022.11692.
JAMA Netw Open. 2022.
PMID: 35544133
Free PMC article.
This occurred while the rate of all-cause admissions to pediatric ICUs of children and adolescents of all ages (ie, ages 0-17 years) per 1 million children and adolescents decreased from a long-term monthly median (IQR) of 150.9 (138.1-159.8) admissions to 91.7 admissions …
This occurred while the rate of all-cause admissions to pediatric ICUs of children and adolescents of all ages (ie, ages 0-17 years) per 1 m …
Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study.
Gilholm P, Gibbons K, Brüningk S, Klatt J, Vaithianathan R, Long D, Millar J, Tomaszewski W, Schlapbach LJ; Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes & Resource Evaluation (CORE) and ANZICS Paediatric Study Group (ANZICS PSG).
Gilholm P, et al.
Intensive Care Med. 2023 Jul;49(7):785-795. doi: 10.1007/s00134-023-07137-1. Epub 2023 Jun 24.
Intensive Care Med. 2023.
PMID: 37354231
Free PMC article.
PURPOSE: Whilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term outcomes. We developed a machine learning model to predict poor school outcomes in children surviving intensive care unit (ICU). ...
PURPOSE: Whilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term outcomes. We …
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