The use of machine learning and artificial intelligence within pediatric critical care-Reference-Cited by-同舟云学术

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The use of machine learning and artificial intelligence within pediatric critical care

Published:2022-11-14 Issue:2 Volume:93 Page:405-412
ISSN:0031-3998
Container-title:Pediatric Research
language:en
Short-container-title:Pediatr Res

Author:

Shah Neel,Arshad Ahmed,Mazer Monty B.,Carroll Christopher L.,Shein Steven L.,Remy Kenneth E.

Publisher

Springer Science and Business Media LLC

Subject

Pediatrics, Perinatology and Child Health

Link

https://www.nature.com/articles/s41390-022-02380-6.pdf

Reference103 articles.

1. Jung, M. et al. Age-specific distribution of diagnosis and outcomes of children admitted to ICUs: a population-based cohort study. Pediatr. Crit. Care Med. 20, e301–e310 (2019).

2. Crow, S. S. et al. Epidemiology of pediatric critical illness in a population-based birth cohort in Olmsted County, MN. Pediatr. Crit. Care Med. 18, e137–e145 (2017).

3. Epstein, D. & Brill, J. E. A history of pediatric critical care medicine. Pediatr. Res. 58, 987–996 (2005).

4. Gupta, P., Gossett, J. & Rao Rettiganti, M. 60: Trends in mortality rates in pediatric intensive care units in the United States from 2004 to 2015. Crit. Care Med. 46, 30 (2018).

5. Markovitz, B. P., Kukuyeva, I., Soto-Campos, G. & Khemani, R. G. PICU volume and outcome: a severity-adjusted analysis. Pediatr. Crit. Care Med. 17, 483–489 (2016).

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