Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.
- DOI
- 10.1371/journal.pone.0289795
- Published
- 2023
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0289795,
title = {Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.},
author = {Jaotombo F and Adorni L and Ghattas B and Boyer L},
year = {2023},
journal = {PloS one},
doi = {10.1371/journal.pone.0289795},
url = {https://doi.org/10.1371/journal.pone.0289795}
}RIS
TY - JOUR TI - Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data. AU - Jaotombo F AU - Adorni L AU - Ghattas B AU - Boyer L PY - 2023 JO - PloS one DO - 10.1371/journal.pone.0289795 UR - https://doi.org/10.1371/journal.pone.0289795 ER -
APA
F, J., L, A., B, G., & L, B. (2023). Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.. PloS one. https://doi.org/10.1371/journal.pone.0289795
Source records
- pubmed · retrieved 2026-09-25T14:35:56.861Z