Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. Retrieved May 24, 2026, from https://4ort.xyz/entity/faim-fairness-aware-interpretable-modeling-for-trustworthy-machine-learning-in-healthcare
MLA“FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/faim-fairness-aware-interpretable-modeling-for-trustworthy-machine-learning-in-healthcare.
BibTeX@misc{4ortxyz_faim-fairness-aware-interpretable-modeling-for-trustworthy-machine-learning-in-healthcare_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare}}, year = {2026}, url = {https://4ort.xyz/entity/faim-fairness-aware-interpretable-modeling-for-trustworthy-machine-learning-in-healthcare}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare — https://4ort.xyz/entity/faim-fairness-aware-interpretable-modeling-for-trustworthy-machine-learning-in-healthcare (retrieved 2026-05-24)
