Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management.
- DOI
- 10.1177/0272989x251406639
- Published
- 2026 Apr
- Container
- Medical decision making : an international journal of the Society for Medical Decision Making
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/0272989x251406639,
title = {Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management.},
author = {Garber S and Okhrin Y},
year = {2026},
journal = {Medical decision making : an international journal of the Society for Medical Decision Making},
doi = {10.1177/0272989x251406639},
url = {https://doi.org/10.1177/0272989x251406639}
}RIS
TY - JOUR TI - Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management. AU - Garber S AU - Okhrin Y PY - 2026 JO - Medical decision making : an international journal of the Society for Medical Decision Making DO - 10.1177/0272989x251406639 UR - https://doi.org/10.1177/0272989x251406639 ER -
APA
S, G., & Y, O. (2026). Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management.. Medical decision making : an international journal of the Society for Medical Decision Making. https://doi.org/10.1177/0272989x251406639
Source records
- pubmed · retrieved 2026-09-25T11:57:00.520Z