Capturing Heterogeneous Patient Needs in Hospitals: A Machine Learning Approach to Predict Staffing Needs: Supplementary Material

This supplementary material accompanies the paper 'Capturing Heterogeneous Patient Needs in Hospitals: A Machine Learning Approach to Predict Staffing Needs' (currently under review), offering additional details on the training procedures of the machine learning models used in the study. It includes expanded descriptions of the datasets utilized, the search spaces for hyperparameters, and configurations of the machine learning models. This additional document is provided to improve transparency, offer more detailed insights into the study’s methodology, and support further exploration by interested researchers.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15275915
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Capturing Heterogeneous Patient Needs in Hospitals: A Machine Learning Approach to Predict Staffing Needs: Supplementary Material

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Healthcare
article

Capturing Heterogeneous Patient Needs in Hospitals: A Machine Learning Approach to Predict Staffing Needs: Supplementary Material

article en

Abstract

This supplementary material accompanies the paper 'Capturing Heterogeneous Patient Needs in Hospitals: A Machine Learning Approach to Predict Staffing Needs' (currently under review), offering additional details on the training procedures of the machine learning models used in the study. It includes expanded descriptions of the datasets utilized, the search spaces for hyperparameters, and configurations of the machine learning models. This additional document is provided to improve transparency, offer more detailed insights into the study’s methodology, and support further exploration by interested researchers.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 74%
Machine Learning in Healthcare
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Capturing Heterogeneous Patient Needs in Hospitals: A Machine Learning Approach to Predict Staffing Needs: Supplementary Material · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS