Machine learning for early prediction of preterm birth

Firanol Teshome, Netsanet Workneh Gidi, Se-woon Choe, Jude Kong, Gelan Ayana

Open source

DOI: 10.1186/s12884-026-09784-w
Published: 2026-08-10
Container: BMC Pregnancy and Childbirth
Publisher: Springer Science and Business Media LLC
Open access: unknown

Credibility signals

uncertain Score 64/100 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
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
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:10.1186/s12884-026-09784-w,
  title = {Machine learning for early prediction of preterm birth},
  author = {Firanol Teshome and Netsanet Workneh Gidi and Se-woon Choe and Jude Kong and Gelan Ayana},
  year = {2026},
  journal = {BMC Pregnancy and Childbirth},
  doi = {10.1186/s12884-026-09784-w},
  url = {https://doi.org/10.1186/s12884-026-09784-w}
}

RIS

TY  - JOUR
TI  - Machine learning for early prediction of preterm birth
AU  - Firanol Teshome
AU  - Netsanet Workneh Gidi
AU  - Se-woon Choe
AU  - Jude Kong
AU  - Gelan Ayana
PY  - 2026
JO  - BMC Pregnancy and Childbirth
DO  - 10.1186/s12884-026-09784-w
UR  - https://doi.org/10.1186/s12884-026-09784-w
ER  -

APA

Teshome, F., Gidi, N. W., Choe, S., Kong, J., & Ayana, G. (2026). Machine learning for early prediction of preterm birth. BMC Pregnancy and Childbirth. https://doi.org/10.1186/s12884-026-09784-w

Source records

crossref · retrieved 2026-11-07T09:19:16.614Z