Predicting Future Care Requirements Using Machine Learning for Pediatric Intensive and Routine Care Inpatients

OBJECTIVES: Develop and compare separate prediction models for ICU and non-ICU care for hospitalized children in four future time periods (6–12, 12–18, 18–24, and 24–30 hr) and assess these models in an independent cohort and simulated children’s hospital. DESIGN: Predictive modeling used cohorts fr...

Descripción completa

Detalles Bibliográficos
Autores principales: Trujillo Rivera, Eduardo A., Chamberlain, James M., Patel, Anita K., Zeng-Treitler, Qing, Bost, James E., Heneghan, Julia A., Morizono, Hiroki, Pollack, Murray M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Predictive Modeling Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357255/
https://www.ncbi.nlm.nih.gov/pubmed/34396143
http://dx.doi.org/10.1097/CCE.0000000000000505

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357255/
https://www.ncbi.nlm.nih.gov/pubmed/34396143
http://dx.doi.org/10.1097/CCE.0000000000000505

Ejemplares similares