Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression
Summary
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression is a scholarly article[1].
Key Facts
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression's instance of is recorded as scholarly article[2].
References
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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). Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-type-2-fuzzy-ontology-to-improve-semantic-interoperability-for-healthcare-and-diagnosis-of-depression
MLA“Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-type-2-fuzzy-ontology-to-improve-semantic-interoperability-for-healthcare-and-diagnosis-of-depression.
BibTeX@misc{4ortxyz_using-type-2-fuzzy-ontology-to-improve-semantic-interoperability-for-healthcare-and-diagnosis-of-depression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression}}, year = {2026}, url = {https://4ort.xyz/entity/using-type-2-fuzzy-ontology-to-improve-semantic-interoperability-for-healthcare-and-diagnosis-of-depression}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression — https://4ort.xyz/entity/using-type-2-fuzzy-ontology-to-improve-semantic-interoperability-for-healthcare-and-diagnosis-of-depression (retrieved 2026-05-24)
