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 …
PURPOSE: Whilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term ou …