Pediatric Deterioration Detection Using Machine Learning

Affiliations

Editorial

Tellen D Bennett. Pediatr Crit Care Med. 2023.

. 2023 Apr 1;24(4):347-349.

doi: 10.1097/PCC.0000000000003222. Epub 2023 Apr 6.

¹ Departments of Biomedical Informatics and Pediatrics (Critical Care Medicine), University of Colorado School of Medicine, Aurora, CO.

No abstract available

Comment on

The Deterioration Risk Index: Developing and Piloting a Machine Learning Algorithm to Reduce Pediatric Inpatient Deterioration.
Rust LOH, Gorham TJ, Bambach S, Bode RS, Maa T, Hoffman JM, Rust SW. Rust LOH, et al. Pediatr Crit Care Med. 2023 Apr 1;24(4):322-333. doi: 10.1097/PCC.0000000000003186. Epub 2023 Feb 2. Pediatr Crit Care Med. 2023. PMID: 36735282

1. Sanchez-Pinto LN, Bennett TD: Evaluation of Machine Learning Models for Clinical Prediction Problems. Pediatr Crit Care Med 2022; 23:405–408 - PMC - PubMed
1. Fu L-H, Schwartz J, Moy A, et al.: Development and validation of early warning score system: A systematic literature review. Journal of Biomedical Informatics 2020; 105:103410. - PMC - PubMed
1. Duncan H, Hutchison J, Parshuram CS: The Pediatric Early Warning System score: a severity of illness score to predict urgent medical need in hospitalized children. J Crit Care 2006; 21:271–278 - PubMed
1. Parshuram CS, Dryden-Palmer K, Farrell C, et al.: Effect of a Pediatric Early Warning System on All-Cause Mortality in Hospitalized Pediatric Patients: The EPOCH Randomized Clinical Trial. JAMA 2018; 319:1002–1012 - PMC - PubMed
1. Bonafide CP, Roberts KE, Weirich CM, et al.: Beyond statistical prediction: qualitative evaluation of the mechanisms by which pediatric early warning scores impact patient safety. J Hosp Med 2013; 8:248–53 - PubMed