An application of random forest regression for predicting healthcare costs using administrative databases.
- DOI
- 10.1080/14737167.2026.2738028
- Published
- 2026 Sep 25
- Container
- Expert review of pharmacoeconomics & outcomes research
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1080/14737167.2026.2738028,
title = {An application of random forest regression for predicting healthcare costs using administrative databases.},
author = {Sala I and Conti S and Antonazzo IC and Losa L and Ferrara P and Rozza D and Fornari C and Crotti G and Sampietro G and Zucchi A and Bagnardi V and Mantovani LG},
year = {2026},
journal = {Expert review of pharmacoeconomics \& outcomes research},
doi = {10.1080/14737167.2026.2738028},
url = {https://doi.org/10.1080/14737167.2026.2738028}
}RIS
TY - JOUR TI - An application of random forest regression for predicting healthcare costs using administrative databases. AU - Sala I AU - Conti S AU - Antonazzo IC AU - Losa L AU - Ferrara P AU - Rozza D AU - Fornari C AU - Crotti G AU - Sampietro G AU - Zucchi A AU - Bagnardi V AU - Mantovani LG PY - 2026 JO - Expert review of pharmacoeconomics & outcomes research DO - 10.1080/14737167.2026.2738028 UR - https://doi.org/10.1080/14737167.2026.2738028 ER -
APA
I, S., S, C., IC, A., L, L., P, F., D, R., C, F., G, C., G, S., A, Z., V, B., & LG, M. (2026). An application of random forest regression for predicting healthcare costs using administrative databases.. Expert review of pharmacoeconomics & outcomes research. https://doi.org/10.1080/14737167.2026.2738028
Source records
- pubmed · retrieved 2026-09-25T10:31:34.209Z