Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification

Md Takbir Alam, Md Ashibul Islam Khan, Nahian Nakiba Dola, Tahia Tazin, Mohammad Monirujjaman Khan, Amani Abdulrahman Albraikan, Faris A. Almalki

Open source

DOI: 10.1155/2022/6321884
Published: 2022-04-21
Container: Applied Bionics and Biomechanics
Publisher: Wiley
Open access: unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
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. 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
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1155/2022/6321884,
  title = {Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification},
  author = {Md Takbir Alam and Md Ashibul Islam Khan and Nahian Nakiba Dola and Tahia Tazin and Mohammad Monirujjaman Khan and Amani Abdulrahman Albraikan and Faris A. Almalki},
  year = {2022},
  journal = {Applied Bionics and Biomechanics},
  doi = {10.1155/2022/6321884},
  url = {https://doi.org/10.1155/2022/6321884}
}

RIS

TY  - JOUR
TI  - Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification
AU  - Md Takbir Alam
AU  - Md Ashibul Islam Khan
AU  - Nahian Nakiba Dola
AU  - Tahia Tazin
AU  - Mohammad Monirujjaman Khan
AU  - Amani Abdulrahman Albraikan
AU  - Faris A. Almalki
PY  - 2022
JO  - Applied Bionics and Biomechanics
DO  - 10.1155/2022/6321884
UR  - https://doi.org/10.1155/2022/6321884
ER  -

APA

Alam, M. T., Khan, M. A. I., Dola, N. N., Tazin, T., Khan, M. M., Albraikan, A. A., & Almalki, F. A. (2022). Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification. Applied Bionics and Biomechanics. https://doi.org/10.1155/2022/6321884

Source records

crossref · retrieved 2026-09-25T02:43:41.293Z