A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit

DOI10.1287/IJOC.2021.1062OpenAlexW3196594535MaRDI QIDQ5084644

Daniel Adelman, Kanix Wang, John R. Birge, Michael D. Schreiber, Walid Hussain

Publication date: 28 June 2022

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2021.1062

zbMATH Keywords

hospitalshealthcarecomputational methodsnonparametricstatistics

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Uses Software

• randomForestSRC
• XGBoost
• BartPy

Cites Work

• BART: Bayesian additive regression trees
• Random survival forests
• BartPy
• A Model of ICU Bumping
• The Impact of the Inpatient Prospective Payment System and Diagnosis-Related Groups

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