--- license: cc-by-4.0 task_categories: - tabular-classification language: - en tags: - healthcare - hearing-loss - ear-disease - otitis-media - ent - audiometry - sub-saharan-africa - lmic pretty_name: "Hearing Loss & Ear Disease (CSOM, Audiometry, Hearing Aids, ENT)" size_categories: - 10K56% of school children failing ear examinations. There are fewer than 1 ENT specialist per million population in most SSA countries. Audiometry is rarely available outside tertiary centres, and hearing aids reach <1% of those who need them. Untreated hearing loss in children leads to speech delay and poor school performance. **This dataset is entirely simulated. It must not be used for clinical decision-making.** ## 2. Methodology ### 2.1 Parameterization | Parameter | Value | Source | | --- | --- | --- | | Preventable hearing loss | Up to 88% | WHO AFRO | | CSOM prevalence | ~27% of cases | PMC 2017 | | School ear exam fail rate | 56.6% | ScienceDirect 2019 | | ENT specialists per million | <1 | WHO AFRO | | Hearing aid coverage | <1% | WHO | ### 2.2 Scenario Design | Scenario | Audiometry | Hearing Aids | Surgery | ENT | | --- | --- | --- | --- | --- | | ENT specialist | Yes | Yes | Yes | Yes | | District hospital | No | No | No | No | | Rural HC | No | No | No | No | ## 3. Schema | Column | Type | Description | | --- | --- | --- | | id | int | Unique identifier | | age | int | Patient age | | ear_condition | categorical | csom / aom / ome / wax / foreign_body / noise / presbycusis / congenital / ototoxicity | | hearing_loss_severity | categorical | normal / mild / moderate / severe / profound | | hearing_loss_type | categorical | conductive / sensorineural / mixed | | audiometry_done | binary | Audiometry performed | | hearing_aid_fitted | binary | Hearing aid fitted | | surgery_performed | binary | Ear surgery | | speech_development_affected | binary | Speech delay (children) | | school_performance_affected | binary | School impact (children) | | complication | binary | Complication occurred | ## 4. Validation

Validation Report

Key validation checks: - **CSOM**: #1 ear condition ✓ - **Audiometry**: 60% ENT centre → 0% elsewhere ✓ - **Hearing aids**: 7% specialist → 0% elsewhere ✓ - **Speech delay**: ~60% in children with moderate+ loss ✓ - **ENT referral completion**: ~20% ✓ ## 5. Usage ```python from datasets import load_dataset dataset = load_dataset("electricsheepafrica/hearing-loss-ear-disease", "district_hospital") df = dataset["train"].to_pandas() ``` ## 6. Limitations - **Simulated**: Not from real ENT registries. - **No audiogram data**: No frequency-specific thresholds. - **No imaging**: No CT temporal bone. - **Simplified**: No detailed surgical outcomes. ## 7. References 1. PMC (2017). CSOM prevalence school children Malawi. 2. Cambridge (2024). Global burden hearing impairment. 3. Frontiers (2024). Global burden otitis media. 4. WHO AFRO. Ear health factsheet. 5. ScienceDirect (2019). School ear exam prevalence. ## Citation ```bibtex @dataset{esa_hearing_ear_2025, title={Hearing Loss and Ear Disease Dataset}, author={Electric Sheep Africa}, year={2025}, publisher={Hugging Face}, url={https://huggingface.co/datasets/electricsheepafrica/hearing-loss-ear-disease} } ``` ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)