An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease.
- DOI
- 10.1155/2022/2933015
- Published
- 2022
- Container
- Computational intelligence and neuroscience
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
serious concern Score 10/100 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.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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:10.1155/2022/2933015,
title = {An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease.},
author = {AlZubi AA and Tiwari S and Walia K and Alanazi JM and AlZobi FI and Verma R},
year = {2022},
journal = {Computational intelligence and neuroscience},
doi = {10.1155/2022/2933015},
url = {https://doi.org/10.1155/2022/2933015}
}RIS
TY - JOUR TI - An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease. AU - AlZubi AA AU - Tiwari S AU - Walia K AU - Alanazi JM AU - AlZobi FI AU - Verma R PY - 2022 JO - Computational intelligence and neuroscience DO - 10.1155/2022/2933015 UR - https://doi.org/10.1155/2022/2933015 ER -
APA
AA, A., S, T., K, W., JM, A., FI, A., & R, V. (2022). An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/2933015
Source records
- pubmed · retrieved 2026-09-24T22:37:07.051Z