AutoBiGluNet: transformer-based time series modeling for blood glucose prediction in Type 1 diabetes patients.

Sarwar MA, Maqsood S, Belousoviene E, Maskeliūnas R

DOI: 10.1007/s13755-026-00469-4
Published: 2026 Dec
Container: Health information science and systems
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:10.1007/s13755-026-00469-4,
  title = {AutoBiGluNet: transformer-based time series modeling for blood glucose prediction in Type 1 diabetes patients.},
  author = {Sarwar MA and Maqsood S and Belousoviene E and Maskeliūnas R},
  year = {2026},
  journal = {Health information science and systems},
  doi = {10.1007/s13755-026-00469-4},
  url = {https://doi.org/10.1007/s13755-026-00469-4}
}

RIS

TY  - JOUR
TI  - AutoBiGluNet: transformer-based time series modeling for blood glucose prediction in Type 1 diabetes patients.
AU  - Sarwar MA
AU  - Maqsood S
AU  - Belousoviene E
AU  - Maskeliūnas R
PY  - 2026
JO  - Health information science and systems
DO  - 10.1007/s13755-026-00469-4
UR  - https://doi.org/10.1007/s13755-026-00469-4
ER  -

APA

MA, S., S, M., E, B., & R, M. (2026). AutoBiGluNet: transformer-based time series modeling for blood glucose prediction in Type 1 diabetes patients.. Health information science and systems. https://doi.org/10.1007/s13755-026-00469-4

Source records

pubmed · retrieved 2026-09-26T09:39:03.816Z