Validation of the HOSPITAL score as predictor of 30-day potentially avoidable readmissions in pediatric hospitalized population: retrospective cohort study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pediatrics, Perinatology and Child Health
Link
https://link.springer.com/content/pdf/10.1007/s00431-022-04795-z.pdf
Reference32 articles.
1. Markham JL, Hall M, Gay JC et al (2018) Length of stay and cost of pediatric readmissions. Pediatrics 141:e20172934. https://doi.org/10.1542/peds.2017-2934
2. Feudtner C, Levin JE, Srivastava R et al (2009) How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study. Pediatrics 123:286–293. https://doi.org/10.1542/peds.2007-3395
3. Hartman ME, Saeed MJ, Bennett T et al (2017) Readmission and late mortality after critical illness in childhood*. Pediatr Crit Care Med 18:e112–e121. https://doi.org/10.1097/PCC.0000000000001062
4. Mumford V, Baysari MT, Kalinin D et al (2018) Measuring the financial and productivity burden of paediatric hospitalisation on the wider family network. J Paediatr Child Health 54:987–996. https://doi.org/10.1111/jpc.13923
5. da Silva VLS, de França GVA, Munhoz TN et al (2018) Hospitalization in the first years of life and development of psychiatric disorders at age 6 and 11: a birth cohort study in Brazil. Cad Saude Publica 34:1–13. https://doi.org/10.1590/0102-311x00064517
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1. Machine learning for hospital readmission prediction in pediatric population;Computer Methods and Programs in Biomedicine;2024-02
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