Individualized Seizure Cluster Prediction Using Machine Learning and Chronic Ambulatory Intracranial EEG is a research paper published in IEEE Transactions on NanoBioscience (2023). On theSindex it has a DataRank of 0.406. It has been cited 14 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.406
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NSF
Grant: CNS-1624790
NIH
Grant: R01-NS92882
NIH
Grant: UH3-NS095495
NINDS NIH HHS
Grant: UH3 NS095495
NINDS NIH HHS
Grant: UH3 NS123066
NINDS NIH HHS
Grant: R01 NS092882
National Institutes of Health
Grant: 5UH3NS095495-05
Neurophysiologically Based Brain State Tracking & Modulation in Focal Epilepsy
National Institutes of Health
Grant: 3R01NS092882-02S1
Reliable Seizure Prediction Using Physiological Signals and Machine Learning
JUMP Arches Foundation
Mayo Clinic-Illinois Fellowship for Technology Based Healthcare Research
FWCI
1.81
Citation Percentile
0.8%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords