A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.

Ghorvei M, Karhu T, Hietakoste S, Ferreira-Santos D, Hrubos-Strøm H, Islind AS, Biedebach L, Nikkonen S, Leppänen T, Rusanen M

Open source

DOI: 10.1111/jsr.14349
Published: 2025 Jun
Container: Journal of sleep research
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. 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
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:10.1111/jsr.14349,
  title = {A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.},
  author = {Ghorvei M and Karhu T and Hietakoste S and Ferreira-Santos D and Hrubos-Strøm H and Islind AS and Biedebach L and Nikkonen S and Leppänen T and Rusanen M},
  year = {2025},
  journal = {Journal of sleep research},
  doi = {10.1111/jsr.14349},
  url = {https://doi.org/10.1111/jsr.14349}
}

RIS

TY  - JOUR
TI  - A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.
AU  - Ghorvei M
AU  - Karhu T
AU  - Hietakoste S
AU  - Ferreira-Santos D
AU  - Hrubos-Strøm H
AU  - Islind AS
AU  - Biedebach L
AU  - Nikkonen S
AU  - Leppänen T
AU  - Rusanen M
PY  - 2025
JO  - Journal of sleep research
DO  - 10.1111/jsr.14349
UR  - https://doi.org/10.1111/jsr.14349
ER  -

APA

M, G., T, K., S, H., D, F., H, H., AS, I., L, B., S, N., T, L., & M, R. (2025). A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.. Journal of sleep research. https://doi.org/10.1111/jsr.14349

Source records

pubmed · retrieved 2026-09-25T22:38:04.404Z