Machine learning-based algorithms to identify factors associated with inadequate meal frequency among children aged 6-23 months in Somalia: Evidence from the Somalia Demographic and Health Survey 2020.
- DOI
- 10.1177/20552076261415918
- Published
- 2026 Jan-Dec
- Container
- Digital health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- 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:10.1177/20552076261415918,
title = {Machine learning-based algorithms to identify factors associated with inadequate meal frequency among children aged 6-23 months in Somalia: Evidence from the Somalia Demographic and Health Survey 2020.},
author = {Omar MA and Salih O},
year = {2026},
journal = {Digital health},
doi = {10.1177/20552076261415918},
url = {https://doi.org/10.1177/20552076261415918}
}RIS
TY - JOUR TI - Machine learning-based algorithms to identify factors associated with inadequate meal frequency among children aged 6-23 months in Somalia: Evidence from the Somalia Demographic and Health Survey 2020. AU - Omar MA AU - Salih O PY - 2026 JO - Digital health DO - 10.1177/20552076261415918 UR - https://doi.org/10.1177/20552076261415918 ER -
APA
MA, O., & O, S. (2026). Machine learning-based algorithms to identify factors associated with inadequate meal frequency among children aged 6-23 months in Somalia: Evidence from the Somalia Demographic and Health Survey 2020.. Digital health. https://doi.org/10.1177/20552076261415918
Source records
- pubmed · retrieved 2026-11-10T12:46:01.594Z