Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.

Elbattah M, Ali Sadek Ibrahim O, Dequen G.

Open source

DOI: 10.3389/fninf.2024.1529839
Published: 2024-12-06
Container: Front Neuroinform
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.

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
not scoredRetraction Watch retraction: No retraction 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 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/fninf.2024.1529839,
  title = {Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.},
  author = {Elbattah M and  Ali Sadek Ibrahim O and  Dequen G.},
  year = {2024},
  journal = {Front Neuroinform},
  doi = {10.3389/fninf.2024.1529839},
  url = {https://doi.org/10.3389/fninf.2024.1529839}
}

RIS

TY  - JOUR
TI  - Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.
AU  - Elbattah M
AU  -  Ali Sadek Ibrahim O
AU  -  Dequen G.
PY  - 2024
JO  - Front Neuroinform
DO  - 10.3389/fninf.2024.1529839
UR  - https://doi.org/10.3389/fninf.2024.1529839
ER  -

APA

M, E., O, A. S. I., & G., D. (2024). Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.. Front Neuroinform. https://doi.org/10.3389/fninf.2024.1529839

Source records

europe-pmc · retrieved 2026-09-25T19:14:00.301Z
doaj · retrieved 2026-09-25T19:14:00.297Z
hal · retrieved 2026-09-25T19:14:00.384Z