Tsu_Data / README.md
Ontlametse's picture
Duplicate from electricsheepafrica/oral-health-dental-disease
4d8a13f
metadata
license: cc-by-4.0
task_categories:
  - tabular-classification
language:
  - en
tags:
  - healthcare
  - oral-health
  - dental-caries
  - periodontal
  - noma
  - dentistry
  - sub-saharan-africa
  - lmic
pretty_name: Oral Health & Dental Disease (Caries, Periodontal, Noma, Treatment Access)
size_categories:
  - 10K<n<100K
configs:
  - config_name: dental_clinic
    data_files: data/oral_dental_clinic.csv
  - config_name: district_hospital
    data_files: data/oral_district_hospital.csv
    default: true
  - config_name: rural_health_centre
    data_files: data/oral_rural_health_centre.csv

Oral Health & Dental Disease Dataset

Abstract

This dataset provides 30,000 simulated oral health records (10,000 per scenario) from sub-Saharan Africa. Each record contains 40+ variables including dental caries, DMFT score, periodontal disease, noma, oral cancer, treatment access, barriers, and outcomes. Three settings: dental clinic (23% care-seeking), district hospital (16%), and rural health centre (8%).

1. Introduction

Africa bears the largest global increase in oral diseases (WHO 2024). The six major conditions are dental caries, periodontal disease, oral cancer, oral HIV manifestations, noma, and cleft lip/palate. DMFT scores average ~4 in SSA adults. Untreated caries is the most prevalent condition. The dentist-to-population ratio is <1:100,000 in many SSA countries. Noma (cancrum oris) persists in extreme poverty with 70-90% CFR if untreated.

This dataset is entirely simulated. It must not be used for clinical decision-making.

2. Methodology

2.1 Parameterization

Parameter Value Source
Dental caries prevalence ~55% WHO 2022
Untreated caries ~80% of caries WHO Africa 2024
DMFT (age 12) ~2.6 PubMed 2021
Periodontal disease ~17% WHO 2022
Dentist ratio <1:100K WHO Africa
Noma in malnourished children ~0.5% WHO Africa
Extraction dominates treatment ~50% BMC PH 2021

2.2 Scenario Design

Scenario Dentist Restorative X-ray Care-Seeking
Dental clinic Yes Yes Yes 23%
District hospital Yes No No 16%
Rural health centre No No No 8%

3. Schema

Column Type Description
id int Unique identifier
age_years int Age
sex categorical M / F
dental_caries binary Dental caries
dmft_score int DMFT score
untreated_caries binary Untreated caries
periodontal_disease binary Periodontal disease
periodontal_severity categorical mild / moderate / severe
tooth_loss int Teeth lost
oral_cancer binary Oral cancer
noma binary Noma (cancrum oris)
dental_pain binary Dental pain
dental_abscess binary Abscess
sugary_diet binary High sugar diet
fluoride_toothpaste binary Fluoride paste use
brushing_frequency categorical never / occasional / once / twice daily
sought_dental_care binary Sought care
treatment_received categorical extraction / filling / scaling / antibiotics / pain_relief / traditional
barrier_to_care categorical cost / distance / no_dentist / fear / not_severe / traditional
pain_resolved binary Pain resolved

4. Validation

Validation Report

Key validation checks:

  • Caries: ~55% prevalence ✓
  • Untreated: ~80% of caries ✓
  • Care-seeking gradient: 23% → 16% → 8% ✓
  • Extraction dominates treatment ✓
  • DMFT mean ~4
  • Barriers: Cost and distance dominant ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/oral-health-dental-disease", "district_hospital")
df = dataset["train"].to_pandas()

6. Limitations

  • Simulated: Not from real dental registries.
  • No imaging: No radiographic data.
  • No clinical exam: No periodontal probing depths.
  • Simplified: No detailed orthodontic data.
  • No fluoride levels: No water fluoride concentrations.

7. References

  1. WHO Africa (2024). Oral health in the African Region.
  2. WHO (2022). Global Oral Health Status Report.
  3. PubMed (2021). DMFT in East Africa.
  4. BMC Public Health (2021). Dental caries in adults SSA.
  5. WHO Africa. Noma (cancrum oris).
  6. PubMed (2015). Oral health South Africa.
  7. PubMed (2021). Dental caries prevalence East Africa.

Citation

@dataset{esa_oral_health_2025,
  title={Oral Health and Dental Disease Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/oral-health-dental-disease}
}

License

CC-BY-4.0