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
- 2023-11-30
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
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 = {Franck Jaotombo and Luca Adorni and Badih Ghattas and Laurent Boyer},
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 - Franck Jaotombo AU - Luca Adorni AU - Badih Ghattas AU - Laurent Boyer PY - 2023 JO - PLOS ONE DO - 10.1371/journal.pone.0289795 UR - https://doi.org/10.1371/journal.pone.0289795 ER -
APA
Jaotombo, F., Adorni, L., Ghattas, B., & Boyer, L. (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
- crossref · retrieved 2026-11-04T01:34:38.760Z