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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2021
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| Materias: | |
| 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 |