Electroencephalography: Experience at Abakaliki Nigeria
Bibliographic record
Abstract
BACKGROUND: Electroencephalography (EEG) remains the most important investigative modality in the evaluation of individuals with epilepsy and other neurological disorders. The pattern of EEG done in a tertiary hospital at Abakaliki Nigeria is not known. It is against this background that we embarked on this retrospective observational study on the EEG pattern and patient characteristics in Neurophysiology laboratory at Abakaliki Nigeria. METHOD: This is a retrospective observational hospital based study where the attendance register of the Neurophysiology laboratory was used to extract information on the demography, clinical characteristics and EEG reports of patients seen at the Laboratory from November 2018 to April 2021. RESULTS: A total of 125 (Male- 69, Female- 56) persons did EEG over the study period, and 75.2% had epileptiform waves (generalized- 16.8%, focal- 57.6%). CONCLUSION: EEG services are been utilized at Abakaliki in evaluation of seizure disorder and other paroxysmal neurological events with more prevalent focal epileptiform waves.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".