Mental Health Identification of Children and Young Adults in a Pandemic Using Machine Learning Classifiers.

Luo X, Huang Y

DOI: 10.3389/fpsyg.2022.947856
Published: 2022
Container: Frontiers in psychology
Publisher: Not recorded
Open access: yes

Credibility signals

serious concern Score 18/100 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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
serious concernRetraction Watch retraction: 1 retraction notice matched this DOI. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2022.947856,
  title = {Mental Health Identification of Children and Young Adults in a Pandemic Using Machine Learning Classifiers.},
  author = {Luo X and Huang Y},
  year = {2022},
  journal = {Frontiers in psychology},
  doi = {10.3389/fpsyg.2022.947856},
  url = {https://doi.org/10.3389/fpsyg.2022.947856}
}

RIS

TY  - JOUR
TI  - Mental Health Identification of Children and Young Adults in a Pandemic Using Machine Learning Classifiers.
AU  - Luo X
AU  - Huang Y
PY  - 2022
JO  - Frontiers in psychology
DO  - 10.3389/fpsyg.2022.947856
UR  - https://doi.org/10.3389/fpsyg.2022.947856
ER  -

APA

X, L., & Y, H. (2022). Mental Health Identification of Children and Young Adults in a Pandemic Using Machine Learning Classifiers.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2022.947856

Source records

pubmed · retrieved 2026-09-25T04:33:06.323Z
europe-pmc · retrieved 2026-09-25T04:33:06.356Z
doaj · retrieved 2026-09-25T04:33:06.320Z