Using machine learning to predict nosocomial infections and medical accidents in a NICU
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DOI: 10.1007/s12553-022-00723-1
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Other versions of this item:
- Marc Beltempo & Georges Bresson & Guy Lacroix, 2020. "Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU," CIRANO Working Papers 2020s-21, CIRANO.
- Beltempo, Marc & Bresson, Georges & Lacroix, Guy, 2020. "Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU," IZA Discussion Papers 13099, Institute of Labor Economics (IZA).
References listed on IDEAS
- Evans, William N. & Kim, Beomsoo, 2006. "Patient outcomes when hospitals experience a surge in admissions," Journal of Health Economics, Elsevier, vol. 25(2), pages 365-388, March.
- Haizhen Lin, 2014. "Revisiting the relationship between nurse staffing and quality of care in nursing homes: An instrumental variables approach," Working Papers 2014-01, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
- Lin, Haizhen, 2014. "Revisiting the relationship between nurse staffing and quality of care in nursing homes: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 37(C), pages 13-24.
Citations
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Cited by:
- Marc Beltempo & Georges Bresson & Jean-Michel Étienne & Guy Lacroix, 2022.
"Infections, accidents and nursing overtime in a neonatal intensive care unit,"
The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(4), pages 627-643, June.
- Marc Beltempo & Georges Bresson & Jean-Michel Étienne & Guy Lacroix, 2021. "Infections, accidents and nursing overtime in a neonatal intensive care unit," Post-Print hal-04120462, HAL.
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More about this item
JEL classification:
- I1 - Health, Education, and Welfare - - Health
- J2 - Labor and Demographic Economics - - Demand and Supply of Labor
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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