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). Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-ontology-structure-and-bayesian-models-to-aid-the-crowdsourcing-of-icd-11-sanctioning-rules
MLA“Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-ontology-structure-and-bayesian-models-to-aid-the-crowdsourcing-of-icd-11-sanctioning-rules.
BibTeX@misc{4ortxyz_use-of-ontology-structure-and-bayesian-models-to-aid-the-crowdsourcing-of-icd-11-sanctioning-rules_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-ontology-structure-and-bayesian-models-to-aid-the-crowdsourcing-of-icd-11-sanctioning-rules}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules — https://4ort.xyz/entity/use-of-ontology-structure-and-bayesian-models-to-aid-the-crowdsourcing-of-icd-11-sanctioning-rules (retrieved 2026-05-24)
