Epileptic seizure detection and prediction using stacked bidirectional long short term memory
Integrity signals
Registry
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Thara et al. [172] achieved an accuracy of 99.89% on the training set and 99.08% on the test set.
“The researchers built a model with two LSTM layers, dropout and dense layers, and trained and optimized it using activation functions such as sigmoid and softmax, achieving good results with an accuracy of 99.89% on the training set and 99.08% on the test set.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [172]
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References 29 · Cited by 93
- Authors
- D.K., T., B.G., P., & Xiong, F.
- Affiliations
- Bio-Rad (United States) (US)
- ORCID
- Xiong, Fan
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 128
- Pages
- 529-535
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2986501295
- Cited by
- 93
- References
- 29
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 17 · 2023: 14 · 2022: 15 · 2021: 23 · 2020: 5
- FWCI
- 6.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition Letters (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- seizure detection, seizure prediction, bidirectional LSTM, stacked LSTM, epilepsy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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