Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study.

Patricia Gilholm Kristen S Gibbons Sarah Catharina Brüningk Juliane KlattRhema VaithianathanDebbie A LongJohnny MillarWojtek Tomaszewski Luregn J Schlapbachnull null

Published in: Intensive care medicine (2023)

A machine learning model using data available at time of ICU discharge predicted failure to meet minimum educational requirements at school age. Implementation of this prediction tool could assist in prioritizing patients for follow-up and targeting of rehabilitative measures.

Keyphrases

machine learning
end stage renal disease
intensive care unit
big data
newly diagnosed
ejection fraction
healthcare
peritoneal dialysis
emergency department
physical activity
chronic kidney disease
primary care
prognostic factors
patient reported outcomes
electronic health record
cancer therapy
data analysis