Retraction Note: Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images
- DOI
- 10.1038/s41598-026-61322-y
- Published
- 7
- Container
- Scientific Reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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.
- 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:10.1038/s41598-026-61322-y,
title = {Retraction Note: Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images},
author = {S. Aanjankumar and Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj and S. R. Surjit Kumar and S. Poonkuntran and Adil O. Khadidos and Shitharth Selvarajan},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-61322-y},
url = {https://doi.org/10.1038/s41598-026-61322-y}
}RIS
TY - JOUR TI - Retraction Note: Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images AU - S. Aanjankumar AU - Malathy Sathyamoorthy AU - Rajesh Kumar Dhanaraj AU - S. R. Surjit Kumar AU - S. Poonkuntran AU - Adil O. Khadidos AU - Shitharth Selvarajan PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-61322-y UR - https://doi.org/10.1038/s41598-026-61322-y ER -
APA
Aanjankumar, S., Sathyamoorthy, M., Dhanaraj, R. K., Kumar, S. R. S., Poonkuntran, S., Khadidos, A. O., & Selvarajan, S. (2026). Retraction Note: Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images. Scientific Reports. https://doi.org/10.1038/s41598-026-61322-y
Source records
- doaj · retrieved 2026-09-25T10:58:34.401Z