ArticleNature machine intelligence2023
Translating Intersectionality to Fair Machine Learning in Health Sciences.
Article in Nature machine intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- AI-Augmented Prevention Science Needs Community-Engaged Prevention Science: a Framework for Greater Accountability.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare.Complex & intelligent systems · 2026Article
- The future of algorithmic nondiscrimination compliance in the affordable care act.NPJ digital medicine · 2025Review
- Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in Healthcare.Journal of healthcare informatics research · 2025Article
- Intersectional and Marginal Debiasing in Prediction Models for Emergency Admissions.JAMA network open · 2025Article
- Intersectional analysis for science and technology.Nature · 2025Review
- Estimating substance use disparities across intersectional social positions using machine learning: An application of group-lasso interaction network.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- Applying a community-engaged participatory machine learning model.American journal of community psychology · 2024Article
- FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare.Patterns (New York, N.Y.) · 2024Article
- Opportunities for incorporating intersectionality into biomedical informatics.Journal of biomedical informatics · 2024Article
- Large language models to identify social determinants of health in electronic health records.NPJ digital medicine · 2024Article
- Differential Fairness: An Intersectional Framework for Fair AI.Entropy (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Fairness approaches in machine learning should involve more than assessment of performance metrics across groups. Shifting the focus away from model metrics, we reframe fairness through the lens of intersectionality, a Black feminist theoretical framework that contextualizes individuals in interacting systems of power and oppression.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.