fairhealth/bangladesh-flood-pdna-2022
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AI & ML interests
Trustworthy Healthcare AI, Federated Learning, Fairness, Bangladesh
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Papers
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FairHealth
Trustworthy Healthcare AI — fairness, privacy, and explainability for clinical settings.
FairHealth is an open-source Python library and research organization focused on making healthcare AI fair, explainable, and safe — especially for low-resource and Global South settings.
pip install fairhealth
Library
- GitHub: Farjana-Yesmin/fairhealth
- PyPI: pypi.org/project/fairhealth
- Docs: fairhealth.readthedocs.io
- Paper: arXiv:2605.08198
Datasets
| Dataset | DOI | Description |
|---|---|---|
| bangladesh-dengue | 10.57967/hf/8800 | Dengue surveillance, 2019–2024 |
| bangladesh-maternal-health | 10.57967/hf/8801 | Maternal health + DGHS regional context |
| bangladesh-flood-pdna-2022 | 10.57967/hf/8799 | 87-upazila PDNA flood data |
Research
Built from 5 accepted papers across MobiHealth 2026, ICAIHE 2026 (Waseda), CCAI 2026 (IEEE), DASGRI 2026 (Springer), and CIBB 2026.
Maintainer: Farjana Yesmin · ORCID: 0000-0003-0650-5133
models 0
None public yet