Dynamic Spatio-Temporal Fusion Network Via Hierarchical Self-Attention for Seizure Prediction.
- DOI
- 10.1109/jbhi.2026.3714542
- Published
- 2026-07-17
- Container
- IEEE J Biomed Health Inform
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3714542,
title = {Dynamic Spatio-Temporal Fusion Network Via Hierarchical Self-Attention for Seizure Prediction.},
author = {Xiong T and Zhang T and Xiao Q and Yang J and Huang D and Kong X.},
year = {2026},
journal = {IEEE J Biomed Health Inform},
doi = {10.1109/jbhi.2026.3714542},
url = {https://doi.org/10.1109/jbhi.2026.3714542}
}RIS
TY - JOUR TI - Dynamic Spatio-Temporal Fusion Network Via Hierarchical Self-Attention for Seizure Prediction. AU - Xiong T AU - Zhang T AU - Xiao Q AU - Yang J AU - Huang D AU - Kong X. PY - 2026 JO - IEEE J Biomed Health Inform DO - 10.1109/jbhi.2026.3714542 UR - https://doi.org/10.1109/jbhi.2026.3714542 ER -
APA
T, X., T, Z., Q, X., J, Y., D, H., & X., K. (2026). Dynamic Spatio-Temporal Fusion Network Via Hierarchical Self-Attention for Seizure Prediction.. IEEE J Biomed Health Inform. https://doi.org/10.1109/jbhi.2026.3714542
Source records
- europe-pmc · retrieved 2026-09-25T12:39:56.287Z