Predicting 30-day unplanned readmissions in patients with cancer in a Brazilian hospital: a Machine Learning approach
- DOI
- 10.31744/einstein_journal/2026ao2210
- Published
- 2026
- Container
- einstein (São Paulo)
- Publisher
- Sociedade Beneficente Israelita Brasileira Hospital Albert Einstein
- 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:10.31744/einstein_journal/2026ao2210,
title = {Predicting 30-day unplanned readmissions in patients with cancer in a Brazilian hospital: a Machine Learning approach},
author = {Nickolas Stabellini and Marilia Melo Favalesso and Claudia Szlejf and Cesar Gomes Miguel and Roberto Carmagnani Pestana and Hanna Kim and Gabriela de Carvalho Ferreira and Kristin A. Waite and Alberto J. Montero and Jill S. Barnholtz-Sloan and Edson Amaro and Nelson Hamerschlak},
year = {2026},
journal = {einstein (São Paulo)},
doi = {10.31744/einstein_journal/2026ao2210},
url = {https://doi.org/10.31744/einstein_journal/2026ao2210}
}RIS
TY - JOUR TI - Predicting 30-day unplanned readmissions in patients with cancer in a Brazilian hospital: a Machine Learning approach AU - Nickolas Stabellini AU - Marilia Melo Favalesso AU - Claudia Szlejf AU - Cesar Gomes Miguel AU - Roberto Carmagnani Pestana AU - Hanna Kim AU - Gabriela de Carvalho Ferreira AU - Kristin A. Waite AU - Alberto J. Montero AU - Jill S. Barnholtz-Sloan AU - Edson Amaro AU - Nelson Hamerschlak PY - 2026 JO - einstein (São Paulo) DO - 10.31744/einstein_journal/2026ao2210 UR - https://doi.org/10.31744/einstein_journal/2026ao2210 ER -
APA
Stabellini, N., Favalesso, M. M., Szlejf, C., Miguel, C. G., Pestana, R. C., Kim, H., Ferreira, G. D. C., Waite, K. A., Montero, A. J., Barnholtz-Sloan, J. S., Amaro, E., & Hamerschlak, N. (2026). Predicting 30-day unplanned readmissions in patients with cancer in a Brazilian hospital: a Machine Learning approach. einstein (São Paulo). https://doi.org/10.31744/einstein_journal/2026ao2210
Source records
- crossref · retrieved 2026-09-26T14:10:47.305Z